<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.179905.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Mapping the Intellectual Architecture of Education for Sustainable Development in Higher Education: A Bibliometric and AI-Assisted Thematic Synthesis</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Segura-Altamirano</surname>
                        <given-names>Segundo Francisco</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0103-7222</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hilario-Vargas</surname>
                        <given-names>Julio Santos</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Vela-Melendez</surname>
                        <given-names>Lindon</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-9644-7151</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Arbulu-Perez-Vargas</surname>
                        <given-names>Carmen Graciela</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-8463-6553</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Reupo-Periche</surname>
                        <given-names>Jose Teodoro</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Garcia-Lopez</surname>
                        <given-names>Jhon Wiston</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Rios-Villacorta</surname>
                        <given-names>Mauro Adriel</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Chiclayo-Padilla</surname>
                        <given-names>Hugo Javier</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-9620-5056</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Castro-C&#x00e1;rdenas</surname>
                        <given-names>Diana Mercedes</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Universidad Nacional Pedro Ruiz Gallo Facultad de Ciencias Fisicas y Matematicas, Lambayeque, Lambayeque, 14100, Peru</aff>
                <aff id="a2">
                    <label>2</label>Universidad Nacional de Trujillo,Av. Juan Pablo II s/n, Trujillo, 13001, Peru</aff>
                <aff id="a3">
                    <label>3</label>Universidad Cesar Vallejo, Pimentel, Lambayeque, 14110, Peru</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:sseguraal@unprg.edu.pe">sseguraal@unprg.edu.pe</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>26</day>
                <month>5</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>808</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>9</day>
                    <month>4</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Segura-Altamirano SF et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/15-808/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Despite the exponential growth of research on Education for Sustainable Development (ESD) in higher education, the field remains characterized by geographic concentration, methodological constraints, and conceptual fragmentation between established competence frameworks and emerging demands such as climate literacy and green skills. No prior review has simultaneously mapped the bibliometric architecture and conducted an AI-assisted inductive thematic synthesis of this domain.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>A dual-method design integrated bibliometric network analysis&#x2014;co-citation, bibliographic coupling, and keyword co-occurrence&#x2014;with artificial intelligence-assisted inductive thematic synthesis. A total of 442 peer-reviewed documents were retrieved from Scopus, Web of Science, and ERIC (2015&#x2013;2026) through systematic search, deduplication, and PICO-based relevance screening. Thematic extraction was performed using two complementary large language model architectures (Qwen3-235B and DeepSeek V3.2), with a stringent hallucination-control verification protocol achieving a 92% alignment score; 37 hallucination flags were subjected to human expert review.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>The corpus exhibits exponential growth since 2019, with Spain, the United Kingdom, and Germany accounting for over one-third of output. Five thematic clusters emerged: curriculum integration, transformative pedagogies, institutional and faculty roles, sustainability literacy and behavioral outcomes, and digital innovation. Surveys and case studies dominate research designs (38%), while experimental approaches represent only 4.0% of the corpus. Green skills and climate literacy remain conceptually peripheral despite their policy urgency, institutional collaboration is extremely fragmented (20.3% of institutions isolated), and faculty populations are severely understudied (7.0%) relative to students (32.7%). Fifty-six knowledge gaps were identified, with methods-by-concepts coverage reaching only 64.0%.</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>The field urgently requires a methodological pivot toward longitudinal and experimental designs, amplification of Global South scholarship, systematic pedagogical theorization of simulation-based approaches, and deliberate cross-institutional consortia to transition from conceptual proliferation to evidence-based pedagogical science.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Education for Sustainable Development</kwd>
                <kwd>Higher Education</kwd>
                <kwd>Science Mapping</kwd>
                <kwd>Sustainability Competencies</kwd>
                <kwd>Green Skills</kwd>
                <kwd>Artificial Intelligence</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>The growing severity of global socio-ecological challenges&#x2014;including climate change, biodiversity loss, and social inequalities&#x2014;has placed sustainable development at the center of twenty-first century policy and educational agendas. In response, the international community has increasingly recognized education as a key driver of the societal changes needed to address these challenges. The United Nations&#x2019; Decade of Education for Sustainable Development (2005&#x2013;2014) sought to integrate the principles and practices of sustainable development into all aspects of education (
                <xref ref-type="bibr" rid="ref74">Grabovska &amp; Grabowski, 2009</xref>; 
                <xref ref-type="bibr" rid="ref111">&#x00d6;zt&#x00fc;rk, 2017</xref>). While this initiative elevated environmental awareness and institutionalized sustainability within global policy discourse, critical reflections suggest that treating sustainable development primarily as a top-down policy objective generated persistent misalignments between rhetorical commitments and the anthropocentric paradigms governing dominant educational systems. Moving beyond these limitations may require reconceptualizing sustainability not as a policy add-on, but as a perspective that reshapes how individuals and institutions relate to the natural world (
                <xref ref-type="bibr" rid="ref97">Martin et al., 2013</xref>; 
                <xref ref-type="bibr" rid="ref110">Ontong &amp; Grange, 2015</xref>).</p>
            <p>Building upon these foundations, the adoption of the 2030 Agenda for Sustainable Development recalibrated the global educational trajectory. Sustainable Development Goal 4 commits to ensuring inclusive, equitable, and high-quality education, while Target 4.7 mandates that all learners acquire the knowledge and skills necessary to promote sustainable development, encompassing human rights, gender equality, and global citizenship (
                <xref ref-type="bibr" rid="ref11">Alonso et al., 2023</xref>; 
                <xref ref-type="bibr" rid="ref82">Joseph &amp; Areepattamannil, 2025</xref>). Within this framework, Higher Education Institutions play an important role: universities and vocational training centers contribute to the formation of future professionals, policymakers, and educators, and their capacity to embed sustainability into their curricula can influence broader sustainable development efforts (
                <xref ref-type="bibr" rid="ref20">Aver et al., 2021</xref>; 
                <xref ref-type="bibr" rid="ref51">Demaidi &amp; Al-Sahili, 2021</xref>; 
                <xref ref-type="bibr" rid="ref62">Ferk Savec &amp; Jedrinovi&#x0107;, 2025</xref>). While some institutions have developed models that embed sustainability into their strategic planning (
                <xref ref-type="bibr" rid="ref109">Oliveira-Melo et al., 2025</xref>; 
                <xref ref-type="bibr" rid="ref119">Sahin, 2025</xref>), many institutions continue to face fragmented implementation and institutional inertia.</p>
            <p>Central to this effort is the discourse on sustainability competencies. Foundational frameworks have conceptualized these competencies as interlinked domains encompassing systems thinking, anticipatory competence, normative competence, interpersonal skills, and strategic action capabilities (
                <xref ref-type="bibr" rid="ref30">Besong &amp; Holland, 2015</xref>; 
                <xref ref-type="bibr" rid="ref89">Laasch et al., 2023</xref>; 
                <xref ref-type="bibr" rid="ref102">Mukhtar et al., 2019</xref>). These models postulate that students must not only understand the complex, non-linear dynamics of socio-ecological systems but also possess the ethical grounding and collaborative skills required to navigate value conflicts and implement systemic solutions in real-world contexts. However, mapping these theoretical constructs onto tangible, assessable learning outcomes remains an ongoing challenge, as the transdisciplinary nature of sustainability frequently clashes with the compartmentalized structures of university curricula, leaving educators with limited guidance on how to systematically foster and evaluate these attributes across diverse student cohorts.</p>
            <p>These competency goals have prompted a re-evaluation of pedagogical methodologies. Traditional transmissive modes of instruction are increasingly seen as insufficient for fostering the learning needed to address complex sustainability problems (
                <xref ref-type="bibr" rid="ref76">Hedden et al., 2017</xref>; 
                <xref ref-type="bibr" rid="ref124">Sundman et al., 2025</xref>). Interventions such as project-based learning, service-learning, and community-engaged research are documented as effective vehicles for bridging theoretical knowledge and real-world application (
                <xref ref-type="bibr" rid="ref6">Aigbe et al., 2025</xref>; 
                <xref ref-type="bibr" rid="ref43">Chien &amp; Chien, 2025</xref>; 
                <xref ref-type="bibr" rid="ref80">Johan &amp; Turan, 2016</xref>; 
                <xref ref-type="bibr" rid="ref96">Mangalore et al., 2025</xref>). Yet the successful deployment of these innovative pedagogies is contingent upon the professional development of university faculty. Research points to a bottleneck at the level of educator training: while institutions may declare commitments to sustainability, limited professional development opportunities leave many academics without the preparation needed to design and facilitate competence-oriented curricula (
                <xref ref-type="bibr" rid="ref28">Batorczak &amp; Klimska, 2020</xref>; 
                <xref ref-type="bibr" rid="ref121">Singer-Brodowski et al., 2026</xref>).</p>
            <p>As the global environmental crisis accelerates, the conceptual boundaries of education for sustainable development have expanded into specialized sub-domains. Climate literacy has emerged as a distinct yet related area, requiring interdisciplinary understanding of the Earth&#x2019;s climate system and the capacity to make informed decisions regarding mitigation and adaptation strategies (
                <xref ref-type="bibr" rid="ref90">Lay, 2016</xref>; 
                <xref ref-type="bibr" rid="ref93">Limaye et al., 2020</xref>). Climate change is increasingly understood as both a socio-economic and public health concern, supporting its integration across disciplines from engineering to health sciences (
                <xref ref-type="bibr" rid="ref69">Fuertes et al., 2020</xref>; 
                <xref ref-type="bibr" rid="ref71">Garc&#x00ed;a-Vinuesa et al., 2020</xref>; 
                <xref ref-type="bibr" rid="ref112">Phiri et al., 2025</xref>; 
                <xref ref-type="bibr" rid="ref125">Szczepankiewicz et al., 2021</xref>).</p>
            <p>In parallel, macroeconomic factors have brought sustainability education and workforce development closer together, as reflected in the growing discourse on green skills. As nations commit to decarbonization targets and circular economy models, labor markets are undergoing structural transformation, generating demand for professionals equipped to accelerate this transition (
                <xref ref-type="bibr" rid="ref34">Branca et al., 2022</xref>; 
                <xref ref-type="bibr" rid="ref45">Costa et al., 2025</xref>; 
                <xref ref-type="bibr" rid="ref101">Mukhtar et al., 2022</xref>; 
                <xref ref-type="bibr" rid="ref123">Storonyanska et al., 2025</xref>). The development of competence taxonomies signifies policy efforts to standardize green skills; however, empirical studies reveal persistent mismatches between academic curricula and the evolving requirements of sustainable industries (
                <xref ref-type="bibr" rid="ref4">Ah-Lian et al., 2019</xref>; 
                <xref ref-type="bibr" rid="ref26">Barna &amp; Csete, 2022</xref>; 
                <xref ref-type="bibr" rid="ref70">Garc&#x00ed;a Hern&#x00e1;ndez et al., 2025</xref>; 
                <xref ref-type="bibr" rid="ref134">Yang &amp; Omar, 2026</xref>).</p>
            <p>These compartmentalized responses have led to calls for whole-institution approaches, based on the argument that sustainability cannot be effectively taught if contradicted by institutional practices (
                <xref ref-type="bibr" rid="ref84">Keryan et al., 2020</xref>; 
                <xref ref-type="bibr" rid="ref120">Schopp et al., 2020</xref>). Transforming campuses into living laboratories can bridge theory and practice (
                <xref ref-type="bibr" rid="ref10">Al-Nuaimi &amp; Al-Ghamdi, 2022</xref>; 
                <xref ref-type="bibr" rid="ref107">Oe et al., 2022</xref>), yet hierarchical structures, resource constraints, and entrenched academic metrics frequently impede comprehensive transformation (
                <xref ref-type="bibr" rid="ref13">Alsharif et al., 2020</xref>; 
                <xref ref-type="bibr" rid="ref67">Fischer et al., 2015</xref>; 
                <xref ref-type="bibr" rid="ref106">Nogueiro &amp; Saraiva, 2023</xref>; 
                <xref ref-type="bibr" rid="ref118">Ruiz-Mall&#x00e9;n &amp; Heras, 2020</xref>).</p>
            <p>Simultaneously, digital transformation&#x2014;including e-learning platforms, gamification, and generative artificial intelligence&#x2014;offers potential to scale sustainability education (
                <xref ref-type="bibr" rid="ref62">Ferk Savec &amp; Jedrinovi&#x0107;, 2025</xref>; 
                <xref ref-type="bibr" rid="ref79">Jarillo et al., 2019</xref>), while raising concerns about exacerbating inequalities and weakening the affective connections foundational to sustainability competence (
                <xref ref-type="bibr" rid="ref58">Durrani et al., 2023</xref>; 
                <xref ref-type="bibr" rid="ref108">Okulich-Kazarin et al., 2024</xref>). Beyond these pedagogical challenges, the research field exhibits significant methodological limitations, including over-reliance on self-reported surveys and small-scale case studies, and an acute scarcity of longitudinal or experimental designs (
                <xref ref-type="bibr" rid="ref50">Dancz et al., 2017</xref>; 
                <xref ref-type="bibr" rid="ref114">Probst, 2022</xref>).</p>
            <p>Given the rapid growth, conceptual diversification, and methodological heterogeneity characterizing this literature, there is a need for comprehensive synthesis. This terminological fragmentation&#x2014;spanning ESD, climate literacy, green skills, and sustainability literacy as partially overlapping yet operationally distinct constructs&#x2014;necessitates careful search strategy validation to ensure comprehensive yet precise retrieval across databases. As the field expands, it risks epistemic fragmentation, wherein distinct research traditions operate in isolation, generating redundant frameworks and failing to consolidate a cohesive evidence base. While previous reviews have addressed specific regions (
                <xref ref-type="bibr" rid="ref75">Hallinger et al., 2024</xref>), targeted sub-disciplines (
                <xref ref-type="bibr" rid="ref103">Nakad et al., 2024</xref>; 
                <xref ref-type="bibr" rid="ref104">Narong &amp; Hallinger, 2024</xref>), or specific practices (
                <xref ref-type="bibr" rid="ref92">Lim et al., 2022</xref>), a global mapping that examines the intellectual structure of the broader multidisciplinary field is currently lacking.</p>
            <p>In response, the present study proposes a comprehensive bibliometric review and advanced science mapping of the global literature on sustainable development education in higher and vocational contexts. By combining network analysis techniques&#x2014;including reference co-citation, bibliographic coupling, and keyword co-occurrence&#x2014;with artificial intelligence-assisted inductive thematic synthesis and systematic knowledge gap detection, this review aims to: (1) trace the temporal dynamics and geographic distribution of research output across 442 documents spanning 2015&#x2013;2026; (2) elucidate the intellectual architecture of the field through co-citation and coupling networks; (3) interrogate prevailing methodological designs, study populations, and pedagogical interventions; (4) inductively synthesize the thematic core of the literature; and (5) systematically identify structural, declared, and emergent knowledge gaps through coverage matrix analysis to define a prioritized research agenda for the next generation of ESD scholarship in higher education and vocational education contexts. By characterizing these intellectual structures and identifying knowledge gaps, this review aims to provide scholars, curriculum designers, and higher education leaders with an evidence-based overview to inform future research and pedagogical development in the context of the 2030 Agenda.</p>
        </sec>
        <sec id="sec2">
            <title>Methodology</title>
            <p>This study employed an integrated methodological design combining macroscopic science mapping algorithms with an inductive, artificial intelligence-assisted thematic analysis. The dual approach enables navigating the expansive volume of contemporary literature while preserving the depth required to interpret the complex integration of sustainability within higher education curricula, pedagogical models, and institutional structures. The research framework was structured in five sequential stages: (1) search strategy validation and multi-database adaptation, (2) systematic data acquisition and screening, (3) deduplication, quality filtering, and relevance screening, (4) science mapping and bibliometric network analysis, and (5) inductive thematic clustering with hallucination-controlled verification. 
                <xref ref-type="fig" rid="f1">
Figure 1</xref> synthesizes the complete data pipeline from retrieval to the final analytical corpus.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>
Figure 1. </label>
                <caption>
                    <title>Data acquisition, deduplication, and screening flow.</title>
                    <p>
Three-database retrieval from Scopus (
                        <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;2,096), Web of Science (
                        <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;1,195), and ERIC (
                        <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;76) totaling 3,367 raw records, processed through sequential deduplication (DOI exact matching and Levenshtein fuzzy string matching), quality filtering, semantic NLP screening of biomedical homonyms, and PICO-based multi-rater relevance evaluation, yielding the final analytical corpus (
                        <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;442).</p>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/198464/e07972bc-35a1-4d91-8fcf-2d344c844852_figure1.gif"/>
            </fig>
            <sec id="sec3">
                <title>Search Strategy Validation and Multi-Database Adaptation</title>
                <p>Prior to the systematic retrieval, the Boolean search strategy was constructed and validated in Scopus through an incremental marginal contribution protocol. Each candidate term was tested for its incremental retrieval yield and potential noise introduction. This iterative process confirmed the inclusion of terms such as 
                    <italic toggle="yes">vocational education</italic>/
                    <italic toggle="yes">VET</italic>, 
                    <italic toggle="yes">climate literacy</italic>, 
                    <italic toggle="yes">green skill*</italic>, and 
                    <italic toggle="yes">sustainability literacy</italic>, while 
                    <italic toggle="yes">curriculum integration</italic> and 
                    <italic toggle="yes">carbon literacy</italic> were excluded due to insufficient marginal contribution or excessive retrieval noise. The validated Scopus query adopted a two-domain structure combining the sustainability paradigm with the educational context:</p>
                <disp-quote>
                    <p>(&#x201c;education for sustainable development&#x201d; OR &#x201c;esd&#x201d; OR &#x201c;climate literacy&#x201d; OR &#x201c;green skill*&#x201d; OR &#x201c;sustainability literacy&#x201d;) AND (&#x201c;higher education&#x201d; OR &#x201c;university&#x201d; OR &#x201c;tertiary education&#x201d; OR &#x201c;vocational education&#x201d; OR &#x201c;VET&#x201d;)</p>
                </disp-quote>
                <p>Once validated in Scopus, the query was syntactically adapted to the field structures and controlled vocabularies of Web of Science Core Collection and ERIC, preserving the same conceptual logic across all three databases.</p>
            </sec>
            <sec id="sec4">
                <title>Data Acquisition</title>
                <p>The systematic literature retrieval was executed on February 25, 2026, targeting peer-reviewed outputs across Scopus, Web of Science Core Collection, and ERIC. The inclusion of these three platforms integrates the broad multidisciplinary coverage of Scopus and WoS with the specialized pedagogical depth provided by ERIC. The validated Boolean strategy was applied to titles, abstracts, and author keywords across all three databases. Only peer-reviewed journal articles, conference proceedings, and book chapters were retained; editorials and systematic reviews were excluded to prevent epistemological circularity. The temporal scope was deliberately unconstrained, extending up to the date of retrieval.</p>
            </sec>
            <sec id="sec5">
                <title>Data Processing, Deduplication, and Relevance Screening</title>
                <p>The initial retrieval yielded 3,367 raw records (Scopus: 2,096; WoS: 1,195; ERIC: 76) (
                    <xref ref-type="bibr" rid="ref54">Diez-Junguitu &amp; Pe&#x00f1;a-Cerezo, 2026</xref>). Metadata from discrete sources were merged into a unified dataset using customized Python scripts. Deduplication proceeded sequentially: exact DOI matching identified 812 duplicates, followed by fuzzy string matching on titles using the Levenshtein distance algorithm, which detected an additional 46, reducing the corpus to 1,987 unique documents. The overlap analysis revealed significant Scopus&#x2013;WoS convergence (829 shared records), while ERIC contributed predominantly unique pedagogical records, validating its inclusion.</p>
                <p>Subsequently, records lacking essential metadata were eliminated (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;17), and a natural language processing filter purged 520 biomedical entries erroneously indexed under the polysemic acronym &#x201c;ESD&#x201d; (Endoscopic Submucosal Dissection), yielding a pre-screened corpus of 1,450 documents.</p>
                <p>A final relevance screening was conducted through a multi-rater expert panel comprising three reviewers with differentiated methodological and thematic roles: a lead methodologist, an ESD and sustainability education expert, and a climate literacy and green skills specialist. Each reviewer independently evaluated every document against PICO-adapted criteria: Population&#x2014;higher education or vocational learners and educators; Intervention&#x2014;ESD-related pedagogical, curricular, or institutional actions; Comparison&#x2014;accepted flexibly to include non-experimental internal benchmarks, not restricted to controlled designs; and Outcome&#x2014;sustainability competencies, literacy, behavioral change, or institutional transformation. Each reviewer issued a categorical decision (include, exclude, or uncertain) accompanied by a confidence rating and dimension-by-dimension justification. A composite relevance score was computed from the averaged confidence ratings weighted by the categorical decisions; only documents achieving a threshold of 0.80 were retained. Discrepant cases were resolved through structured majority agreement. The retained corpus of 442 documents exhibited 98.4% unanimous agreement across all three reviewers and 100% majority agreement, confirming the stability and reliability of the selection threshold (100% abstract and title availability; 92.9% DOI completeness).</p>
            </sec>
            <sec id="sec6">
                <title>Science Mapping and Bibliometric Analysis</title>
                <p>The macroscopic architecture of the corpus was evaluated through science mapping methodologies designed to elucidate both the social networks of knowledge production and the latent cognitive structures governing the discipline (
                    <xref ref-type="bibr" rid="ref98">Mazov et al., 2020</xref>; 
                    <xref ref-type="bibr" rid="ref131">Wang et al., 2020</xref>). Descriptive statistics were first generated to map publication trajectories, annual growth rates, and the most prolific actors&#x2014;authors, institutions, and countries. Relational analyses then employed keyword co-occurrence to identify underlying epistemic themes (
                    <xref ref-type="bibr" rid="ref39">Callon et al., 1983</xref>; 
                    <xref ref-type="bibr" rid="ref127">Torc&#x0103;toru et al., 2022</xref>), bibliographic coupling to measure document similarity through shared references and detect invisible colleges (
                    <xref ref-type="bibr" rid="ref83">Karimi et al., 2025</xref>; 
                    <xref ref-type="bibr" rid="ref85">Kessler, 1963</xref>), and reference co-citation to uncover the intellectual pillars of the field (
                    <xref ref-type="bibr" rid="ref8">Ali et al., 2019</xref>; 
                    <xref ref-type="bibr" rid="ref135">Yildiz, 2019</xref>). Network visualizations were generated using VOSviewer, with temporal overlays permitting the differentiation between consolidated conceptual areas and nascent research frontiers. A state-of-the-art knowledge gap analysis further examined methods-by-concepts coverage matrices to systematically identify structural, declared, and emergent gaps across the corpus.</p>
            </sec>
            <sec id="sec7">
                <title>Artificial Intelligence-Assisted Inductive Thematic Analysis</title>
                <p>To transcend the macroscopic limitations of network analysis and capture the qualitative depth embedded within the substantive text, this review incorporated a Large Language Model-assisted inductive thematic analysis (
                    <xref ref-type="bibr" rid="ref99">Moia et al., 2026</xref>; 
                    <xref ref-type="bibr" rid="ref132">Wen et al., 2026</xref>). The 442 abstracts were processed through two complementary architectures: Qwen3-235B for thematic extraction and DeepSeek V3.2 for cross-thematic reasoning. The use of generative AI in qualitative synthesis is an emerging approach that can increase analytical capacity, though it requires careful methodological oversight (
                    <xref ref-type="bibr" rid="ref88">L&#x00f3;pez-Pineda et al., 2025</xref>; 
                    <xref ref-type="bibr" rid="ref115">Ram&#x00ed;rez-Correa et al., 2026</xref>).</p>
                <p>The analysis proceeded through a three-phase inductive pipeline (
                    <xref ref-type="fig" rid="f2">
Figure 2</xref>). In Phase 1 (Inductive Thematic Mapping), the corpus was processed in 15 analytic batches to identify and define emergent conceptual categories without the imposition of 
                    <italic toggle="yes">a priori</italic> theoretical frameworks. This iterative process yielded five primary thematic clusters characterizing the current discourse. In Phase 2 (Cross-Thematic Analysis), the system analyzed the latent structural relationships binding these themes, surfacing dominant analytical axes that delineate the field&#x2019;s organizing tensions. In Phase 3 (Framework Construction), the synthesized axes were utilized to construct integrative frameworks linking institutional, pedagogical, and outcome dimensions.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>Three-phase inductive thematic analysis pipeline.</title>
                        <p>Phase 1 (Inductive Thematic Mapping): Large Language Model ingestion of 442 abstracts across 15 analytic batches and emergent category extraction yielding five thematic clusters. Phase 2 (Cross-Thematic Analysis): latent structural analysis identifying dominant analytical axes and cross-thematic relationships. Phase 3 (Framework Construction): integrative framework linking institutional, pedagogical, and outcome dimensions.</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/198464/e07972bc-35a1-4d91-8fcf-2d344c844852_figure2.gif"/>
                </fig>
                <p>To rigorously mitigate the inherent risks of stochastic algorithmic hallucination (
                    <xref ref-type="bibr" rid="ref95">Luna Chontal et al., 2026</xref>), a stringent verification protocol was embedded into the pipeline (
                    <xref ref-type="fig" rid="f3">
Figure 3</xref>). The platform computationally verified thematic propositions directly against the original source text of the abstracts, yielding an alignment score of 92%. A total of 37 hallucination flags were identified and manually reviewed; all instances were critically validated or corrected by the research team to ensure the fidelity of the qualitative synthesis.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>
Figure 3. </label>
                    <caption>
                        <title>Hallucination control and verification protocol.</title>
                        <p>Computational post-hoc verification of AI-generated thematic outputs against original source abstracts. The protocol yielded a 92% alignment score; 37 hallucination flags were identified and submitted to human expert review for manual validation or correction.</p>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/198464/e07972bc-35a1-4d91-8fcf-2d344c844852_figure3.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec8" sec-type="results">
            <title>Results</title>
            <sec id="sec8.1">
                <title>Descriptive Profile and Temporal Dynamics of the Corpus</title>
                <p>The systematic search yielded a final corpus of 442 documents spanning the period 2015&#x2013;2026. The temporal distribution reveals a marked acceleration in scholarly output that can be segmented into three distinct phases (
                    <xref ref-type="fig" rid="f4">
Figure 4</xref>). During the initial phase (2015&#x2013;2018), production remained modest but grew steadily, with 33 documents in 2015&#x2013;2016 and 50 in 2017&#x2013;2018, reflecting an early consolidation of the field following the adoption of the 2030 Agenda. The intermediate phase (2019&#x2013;2022) witnessed substantial growth, from 65 documents in 2019&#x2013;2020 to 71 in 2021&#x2013;2022, coinciding with the publication of UNESCO&#x2019;s 
                    <italic toggle="yes">ESD for 2030 Roadmap</italic> and the global mobilization around SDG 4.7. The acceleration phase (2023&#x2013;2026) confirms exponential expansion, with 121 documents in 2023&#x2013;2024 and 106 already registered for 2025&#x2013;2026&#x2014;the latter figure being provisional given ongoing indexation. The single most productive year is 2025, with 90 documents, underscoring the field&#x2019;s continued momentum. Overall, the corpus exhibits a compound annual growth rate that accelerated notably after 2019, with a relative research interest index rising from 0.049 in 2015 to 0.202 in 2025.</p>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>
Figure 4. </label>
                    <caption>
                        <title>Annual scientific production in the corpus (
                            <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;442, 2015&#x2013;2026).</title>
                        <p>The temporal distribution shows three distinct phases: initial consolidation (2015&#x2013;2018), substantial growth coinciding with UNESCO&#x2019;s ESD for 2030 Roadmap (2019&#x2013;2022), and exponential acceleration (2023&#x2013;2026). The single most productive year is 2025 (
                            <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;90).</p>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/198464/e07972bc-35a1-4d91-8fcf-2d344c844852_figure4.gif"/>
                </fig>
                <p>The citation landscape is anchored by a small number of foundational publications that have accumulated disproportionate influence. The corpus accrued 10,332 total citations, yielding a mean of 23.17 citations per document and an h-index of 48. 
                    <xref ref-type="table" rid="T1">
Table 1</xref> presents the ten most-cited documents, which collectively define the field&#x2019;s empirical and conceptual foundations. Notably, W. L. 
                    <xref ref-type="bibr" rid="ref65">Filho et al. (2015)</xref> leads with 646 citations, followed by 
                    <xref ref-type="bibr" rid="ref33">Boldureanu et al. (2020)</xref> with 590 and 
                    <xref ref-type="bibr" rid="ref42">Cebri&#x00e1;n &amp; Junyent (2015)</xref> with 454. The temporal distribution of these landmark works is revealing: the period 2015&#x2013;2020 contributes all ten entries, with 2015 and 2020 each providing three&#x2014;a pattern that reflects the convergence of foundational handbooks and SDG implementation frameworks during this period.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Ten most-cited documents in the corpus.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Rank</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Document</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Title (abbreviated)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Journal</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Citations</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref65">W. L. Filho et al. (2015)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">The future we want: Key issues on SD in HE</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Int. J. Sustain. High. Educ.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">646</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref33">Boldureanu et al. (2020)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Entrepreneurship education through successful models in HEIs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Sustainability</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">590</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref42">Cebri&#x00e1;n &amp; Junyent (2015)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Competencies in ESD: student teachers&#x2019; views</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Sustainability</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">454</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref27">Barth et al. (2015)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Routledge Handbook of HE for SD</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Routledge</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">406</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref21">B. Franco et al. (2019)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Higher education for SD: actioning the global goals</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Sustainability Science</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">298</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref66">W. Filho et al. (2017)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Identifying and overcoming obstacles to SD at universities</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">J. Integr. Environ. Sci.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">268</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref7">Albareda-Tiana et al. (2018)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Implementing the SDGs at university level</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Int. J. Sustain. High. Educ.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">258</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref64">W. L. Filho et al. (2020)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sustainability leadership in HEIs: challenges</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Sustainability</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">254</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref61">Ferguson &amp; Roofe (2020)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">SDG 4 in higher education: challenges and opportunities</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Int. J. Sustain. High. Educ.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">211</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref9">Al-Naqbi &amp; Alshannag (2018)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Status of ESD and sustainability knowledge in UAE</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Int. J. Sustain. High. Educ.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">188</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>

                            <italic toggle="yes">Note.</italic> Citation counts retrieved from Scopus/WoS at the time of analysis.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec9">
                <title>Geographic, Institutional, and Disciplinary Distribution</title>
                <p>The geographic analysis reveals a predominantly European concentration, with Spain leading the corpus (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;63 articles, 14.1%), followed by the United Kingdom (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;52, 11.7%) and Germany (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;40, 9.0%). The United States (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;27, 6.1%) and Brazil (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;17, 3.8%) represent the strongest non-European contributions, while Portugal (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;16), South Africa and Sweden (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;14 each), Italy (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;13), and Colombia (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;12) complete the top ten. The dominance of Iberian and Germanic countries, combined with meaningful Latin American and African participation, delineates a field whose intellectual center of gravity resides in Western Europe but with increasingly diversified global engagement. Eighty-six countries and 526 institutions are represented across the corpus, confirming the transnational character of ESD research.</p>
                <p>The co-authorship network by countries (
                    <xref ref-type="fig" rid="f5">
Figure 5</xref>) identifies 86 nations organized into 15 clusters. The United Kingdom occupies the most connected position with 30 co-authorship links and a total link strength (TLS) of 55, functioning as the primary hub for international collaboration. Germany follows with 22 links (TLS&#x00a0;=&#x00a0;39), maintaining strong ties to Spanish-speaking and Latin American partners. Spain ranks third in collaborative connectivity (19 links, TLS&#x00a0;=&#x00a0;36) despite leading in absolute publication volume&#x2014;a finding that underscores Spain&#x2019;s strength as a national producer rather than as an international broker. A notable Nordic&#x2013;Gulf cluster emerges around Sweden, Denmark, Finland, and Qatar, while the Ibero-American cluster connects Spain, Colombia, Mexico, and Portugal through shared linguistic and institutional networks. Nine countries remain isolates with no co-authorship links, revealing persistent gaps in the field&#x2019;s global integration.</p>
                <fig fig-type="figure" id="f5" orientation="portrait" position="float">
                    <label>
Figure 5. </label>
                    <caption>
                        <title>Co-authorship network by countries generated with VOSviewer 1.6.20.</title>
                        <p>Nodes are sized proportionally to the number of documents per country; colors indicate cluster membership; link thickness is proportional to co-authorship strength. The network comprises 86 nations organized into 15 clusters. The United Kingdom occupies the most connected position (30 links, TLS&#x00a0;=&#x00a0;55), followed by Germany (22 links, TLS&#x00a0;=&#x00a0;39) and Spain (19 links, TLS&#x00a0;=&#x00a0;36). Nine countries remain as isolates.</p>
                    </caption>
                    <graphic id="gr5" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/198464/e07972bc-35a1-4d91-8fcf-2d344c844852_figure5.gif"/>
                </fig>
                <p>The bibliographic coupling analysis at the institutional level reveals that the most intellectually interconnected institutions are Universitat Hamburg (TLS&#x00a0;=&#x00a0;2,812), Universidade Aberta (TLS&#x00a0;=&#x00a0;2,375), Manchester Metropolitan University (TLS&#x00a0;=&#x00a0;2,345), HAW Hamburg (TLS&#x00a0;=&#x00a0;2,053), and Universidade Nova de Lisboa (TLS&#x00a0;=&#x00a0;2,032). These institutions, organized into 41 clusters across 502 nodes, form distinct collaborative axes: a German sustainability science axis anchored by Hamburg institutions and Leuphana University of Luneburg (TLS&#x00a0;=&#x00a0;1,517); a Portuguese&#x2013;Brazilian network centered on Universidade Aberta, Universidade Nova de Lisboa, and Universidade Federal de Santa Maria; and a UK education cluster around Manchester Metropolitan University. Universidad de Salamanca (TLS&#x00a0;=&#x00a0;1,508) bridges the Spanish-speaking network with the broader European core.</p>
                <p>The disciplinary distribution, extracted from 137 unique discipline classifications, confirms the field&#x2019;s interdisciplinary character. Teacher Education leads (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;18), followed by Engineering (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;12), Business (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;11), and Geography (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;9), while early childhood education, environmental engineering, and science education contribute smaller but distinctive streams. The ratio of unique disciplines to total articles (137/442&#x00a0;=&#x00a0;0.31) indicates that nearly one-third of all articles self-identify within distinct disciplinary frameworks&#x2014;a hallmark of a transdisciplinary field still negotiating its boundaries.</p>
            </sec>
            <sec id="sec10">
                <title>Journal Landscape and Core Publication Venues</title>
                <p>The journal co-citation analysis identifies 1,150 sources organized into 105 clusters, revealing a highly differentiated yet hierarchically structured publication landscape. A clear two-journal dominance pattern emerges: the 
                    <italic toggle="yes">International Journal of Sustainability in Higher Education</italic> (IJSHE) leads with a TLS of 4,240 and 230 co-citations, followed closely by 
                    <italic toggle="yes">Sustainability</italic> (Switzerland) with a TLS of 3,979 and 200 co-citations. Notably, the 
                    <italic toggle="yes">Journal of Cleaner Production</italic> ranks third (TLS&#x00a0;=&#x00a0;3,960, 210 co-citations), occupying a nearly equivalent position that signals the field&#x2019;s strong connection to applied sustainability science. 
                    <italic toggle="yes">Environmental Education Research</italic> (TLS&#x00a0;=&#x00a0;2,837) and 
                    <italic toggle="yes">Sustainability Science</italic> (TLS&#x00a0;=&#x00a0;2,074) complete the top five. The bibliographic coupling of journals (161 journals, 31 clusters) corroborates this structure, with 
                    <italic toggle="yes">Sustainability</italic> (TLS&#x00a0;=&#x00a0;1,544) and IJSHE (TLS&#x00a0;=&#x00a0;1,464) jointly anchoring the core cluster (
                    <xref ref-type="table" rid="T2">
Table 2</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Top ten journals by co-citation frequency in the network.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Rank</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Journal</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Co-cit.</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">TLS</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Cluster</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Int. J. Sustain. High. Educ.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">230</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4,240</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">J. Clean. Prod.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">210</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3,960</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Sustainability (Switzerland)</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">200</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3,979</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Environ. Educ. Res.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">150</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2,837</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Sustain. Sci.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">113</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2,074</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">J. Educ. Sustain. Dev.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">90</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1,412</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">World Sustain. Ser.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">63</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">922</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">J. Environ. Educ.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">827</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Higher Education</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">781</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Sustain. Dev.</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">737</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>

                            <italic toggle="yes">Note.</italic> TLS&#x00a0;=&#x00a0;total link strength in the co-citation network.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>Three distinct cluster families warrant attention. Cluster 1 forms the core ESD&#x2013;higher education nexus, anchoring IJSHE alongside 
                    <italic toggle="yes">Journal of Cleaner Production</italic>, 
                    <italic toggle="yes">Sustainability Science</italic>, and the 
                    <italic toggle="yes">World Sustainability Series.</italic> Cluster 4 concentrates environmental and science education journals, including 
                    <italic toggle="yes">Environmental Education Research</italic> and 
                    <italic toggle="yes">The Journal of Environmental Education</italic>, reflecting the legacy of environmental education research that preceded and now intersects with ESD. Cluster 11, centered on 
                    <italic toggle="yes">Higher Education</italic>, represents the higher education policy and governance interface.</p>
            </sec>
            <sec id="sec11">
                <title>Intellectual Structure: Co-citation and Bibliographic Coupling Analysis</title>
                <p>The reference co-citation analysis identifies 1,067 cited references organized into 54 clusters, revealing the field&#x2019;s intellectual foundations. 
                    <xref ref-type="bibr" rid="ref137">Wiek et al. (2011)</xref> emerges as the single most co-cited reference (TLS&#x00a0;=&#x00a0;1,082; 66 co-citations), establishing key competencies in sustainability as the foundational framework for the entire field. This seminal reference anchors Cluster 3&#x2014;the largest cluster with 241 nodes&#x2014;which also encompasses 
                    <xref ref-type="bibr" rid="ref138">Barth et al. (2007</xref>; TLS&#x00a0;=&#x00a0;483), 
                    <xref ref-type="bibr" rid="ref143">Sipos et al. (2008</xref>; TLS&#x00a0;=&#x00a0;463), and 
                    <xref ref-type="bibr" rid="ref140">Lozano et al. (2017</xref>; TLS&#x00a0;=&#x00a0;356), collectively constituting the competence-framework tradition (
                    <xref ref-type="fig" rid="f6">
Figure 6</xref>). Lozano emerges as the most recurrent author in the co-citation network, with four distinct publications appearing among the ten most co-cited references (2006, 2011, 2014, 2017), spanning from institutional transformation to competence operationalization.</p>
                <fig fig-type="figure" id="f6" orientation="portrait" position="float">
                    <label>
Figure 6. </label>
                    <caption>
                        <title>Reference co-citation network generated with VOSviewer 1.6.20.</title>
                        <p>Cluster visualization showing the intellectual pillars of the field. The network encompasses 1,067 cited references organized into 54 clusters. Node size is proportional to co-citation frequency; colors indicate thematic clusters. 
                            <xref ref-type="bibr" rid="ref137">Wiek et al. (2011)</xref> emerges as the most co-cited reference (TLS&#x00a0;=&#x00a0;1,082; 66 co-citations).</p>
                    </caption>
                    <graphic id="gr6" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/198464/e07972bc-35a1-4d91-8fcf-2d344c844852_figure6.gif"/>
                </fig>
                <p>The co-citation structure reveals five intellectual pillars:
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>

                                <bold>Competence frameworks and sustainability key competencies</bold> (Cluster 3): 
                                <xref ref-type="bibr" rid="ref137">Wiek et al. (2011)</xref>, 
                                <xref ref-type="bibr" rid="ref138">Barth et al. (2007)</xref>, 
                                <xref ref-type="bibr" rid="ref143">Sipos et al. (2008)</xref>, 
                                <xref ref-type="bibr" rid="ref140">Lozano et al. (2017)</xref>, 
                                <xref ref-type="bibr" rid="ref146">Brundiers et al. (2010</xref>, 
                                <xref ref-type="bibr" rid="ref147">2021</xref>), UNESCO (2017, 2020).</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>

                                <bold>Institutional transformation and whole-institution approaches</bold> (Cluster 2): Wals (2013; TLS&#x00a0;=&#x00a0;356), Pauw et al. (2015), O&#x2019;Flaherty and Liddy (2017).</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>

                                <bold>Curriculum integration and ESD embedding</bold> (Cluster 4): Lambrechts et al. (2012), Mula et al. (2017), Mochizuki and Fadeeva (2010), Bertschy et al. (2013).</p>
                        </list-item>
                        <list-item>
                            <label>4.</label>
                            <p>

                                <bold>Campus sustainability and assessment</bold> (Cluster 5): 
                                <xref ref-type="bibr" rid="ref139">Lozano (2011</xref>; TLS&#x00a0;=&#x00a0;422), 
                                <xref ref-type="bibr" rid="ref141">Lozano (2006</xref>; TLS&#x00a0;=&#x00a0;300), 
                                <xref ref-type="bibr" rid="ref142">Lozano and Lozano (2014</xref>; TLS&#x00a0;=&#x00a0;314).</p>
                        </list-item>
                        <list-item>
                            <label>5.</label>
                            <p>

                                <bold>Environmental behavior and attitudes</bold> (Cluster 7): Kollmuss and Agyeman (2002), 
                                <xref ref-type="bibr" rid="ref144">Shephard (2008)</xref>, 
                                <xref ref-type="bibr" rid="ref145">Kopnina (2014)</xref>.</p>
                        </list-item>
                    </list>
                </p>
                <p>Bibliographic coupling analysis of the 442 documents (369 of which met the minimum citation threshold) further corroborates this structure. The highest-coupled documents&#x2014;
                    <xref ref-type="bibr" rid="ref7">Albareda-Tiana et al. (2018)</xref> (TLS&#x00a0;=&#x00a0;427), 
                    <xref ref-type="bibr" rid="ref60">Faham et al. (2017)</xref> (TLS&#x00a0;=&#x00a0;396), and 
                    <xref ref-type="bibr" rid="ref148">Brandt et al. (2022</xref>; TLS&#x00a0;=&#x00a0;351)&#x2014;share extensive reference lists focused on competence orientation and SDG implementation. Critically, citation count and coupling strength do not always correlate: W. L. 
                    <xref ref-type="bibr" rid="ref65">Filho et al. (2015)</xref>, the most-cited document (646 citations), exhibits relatively low coupling strength (TLS&#x00a0;=&#x00a0;34), indicating that it is widely cited but draws on a reference base distinct from the field&#x2019;s mainstream. Conversely, 
                    <xref ref-type="bibr" rid="ref55">Disterheft et al. (2016)</xref> (TLS&#x00a0;=&#x00a0;350) and 
                    <xref ref-type="bibr" rid="ref37">Brassler &amp; Sprenger (2021)</xref> (TLS&#x00a0;=&#x00a0;348) occupy highly coupled positions despite moderate citation counts, suggesting their role as intellectual bridges within the network.</p>
            </sec>
            <sec id="sec12">
                <title>Conceptual Structure: Keyword Co-occurrence Analysis</title>
                <p>The keyword co-occurrence network (
                    <xref ref-type="fig" rid="f7">
Figure 7</xref>) encompasses 352 keywords organized into seven thematic clusters, offering a fine-grained map of the conceptual territory. The three most central keywords are 
                    <italic toggle="yes">sustainable development</italic> (TLS&#x00a0;=&#x00a0;1,204; 166 occurrences), 
                    <italic toggle="yes">higher education</italic> (TLS&#x00a0;=&#x00a0;833; 133 occurrences), and 
                    <italic toggle="yes">sustainability</italic> (TLS&#x00a0;=&#x00a0;705; 110 occurrences), followed by 
                    <italic toggle="yes">education for sustainable development</italic> (TLS&#x00a0;=&#x00a0;652; 131 occurrences). The strongest dyadic co-occurrence links&#x2014;
                    <italic toggle="yes">sustainable development</italic>&#x2013;
                    <italic toggle="yes">higher education</italic> (weight&#x00a0;=&#x00a0;63) and 
                    <italic toggle="yes">sustainable development</italic>&#x2013;
                    <italic toggle="yes">education for sustainable development</italic> (weight&#x00a0;=&#x00a0;58)&#x2014;confirm that the field&#x2019;s conceptual nucleus remains firmly anchored in the ESD&#x2013;higher education nexus.</p>
                <fig fig-type="figure" id="f7" orientation="portrait" position="float">
                    <label>
Figure 7. </label>
                    <caption>
                        <title>Keyword co-occurrence network generated with VOSviewer 1.6.20.</title>
                        <p>Cluster visualization of 352 author keywords organized into seven thematic clusters. Node size is proportional to keyword frequency; link thickness is proportional to co-occurrence strength. The three most central keywords are 
                            <italic toggle="yes">sustainable development</italic> (TLS&#x00a0;=&#x00a0;1,204; 166 occurrences), 
                            <italic toggle="yes">higher education</italic> (TLS&#x00a0;=&#x00a0;833; 133 occurrences), and 
                            <italic toggle="yes">sustainability</italic> (TLS&#x00a0;=&#x00a0;705; 110 occurrences).</p>
                    </caption>
                    <graphic id="gr7" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/198464/e07972bc-35a1-4d91-8fcf-2d344c844852_figure7.gif"/>
                </fig>
                <p>Seven clusters delineate distinct yet interconnected conceptual territories:</p>
                <p>

                    <bold>Cluster 1 (Sustainability &#x2013; Higher Education &#x2013; Curriculum)</bold> revolves around 
                    <italic toggle="yes">sustainability</italic>, 
                    <italic toggle="yes">higher education</italic>, and 
                    <italic toggle="yes">curriculum</italic>, capturing the normative and structural dimensions of sustainability integration. Keywords such as 
                    <italic toggle="yes">key competences</italic>, 
                    <italic toggle="yes">systems thinking</italic>, and 
                    <italic toggle="yes">experiential learning</italic> indicate the operationalization of competence frameworks into curricular practice.</p>
                <p>

                    <bold>Cluster 2 (ESD Implementation and SDG Alignment)</bold> centers on education for sustainable development, sustainable development goals, and sustainable development, incorporating transformative learning, service learning, and design thinking. This is the largest cluster (124 nodes), capturing the implementation-oriented research that connects policy frameworks to pedagogical practice.</p>
                <p>

                    <bold>Cluster 3 (Education, Teaching, and Student Behavior)</bold> features education, teaching, learning, knowledge, attitudes, and behavior, constituting the core behavioral research cluster. This cluster captures the empirical tradition of measuring student-level outcomes through surveys and attitudinal instruments (
                    <xref ref-type="bibr" rid="ref14">&#x00c1;lvarez-Garc&#x00ed;a et al., 2019</xref>; 
                    <xref ref-type="bibr" rid="ref23">Badea et al., 2020</xref>).</p>
                <p>

                    <bold>Cluster 4 (Climate Change and Health Education)</bold> is anchored by 
                    <italic toggle="yes">climate change</italic> and 
                    <italic toggle="yes">climate change education</italic>, with a mean publication year of approximately 2023&#x2014;the most recent cluster average. The inclusion of nursing-related keywords reveals a discipline-specific pathway for climate literacy that bridges health and environmental education (
                    <xref ref-type="bibr" rid="ref15">&#x00c1;lvarez-Nieto et al., 2018</xref>; 
                    <xref ref-type="bibr" rid="ref32">Bishr et al., 2026</xref>).</p>
                <p>

                    <bold>Cluster 5 (Engineering, Interdisciplinarity, and Digital Learning)</bold> unites 
                    <italic toggle="yes">curricula</italic>, 
                    <italic toggle="yes">engineering education</italic>, 
                    <italic toggle="yes">
e
-learning
</italic>, 
                    <italic toggle="yes">project-based learning</italic>, and 
                    <italic toggle="yes">interdisciplinarity</italic>, reflecting the technologically mediated strand of ESD research. The presence of 
                    <italic toggle="yes">circular economy</italic> and 
                    <italic toggle="yes">massive open online course</italic> keywords reveals emerging conceptual intersections.</p>
                <p>

                    <bold>Cluster 7 (Vocational Education and Green Skills)</bold> contains only four nodes but occupies a strategically important bridging position connecting vocational training with the ESD implementation cluster. The keyword 
                    <italic toggle="yes">green skills</italic> signals its conceptual proximity to the growing workforce readiness agenda (
                    <xref ref-type="bibr" rid="ref41">Carstensen et al., 2025</xref>; 
                    <xref ref-type="bibr" rid="ref45">Costa et al., 2025</xref>).</p>
                <p>The density visualization reveals that the highest-density area concentrates around the 
                    <italic toggle="yes">sustainable development</italic>&#x2013;
                    <italic toggle="yes">higher education</italic>&#x2013;
                    <italic toggle="yes">education for sustainable development</italic> triangle, while lower-density peripheral areas include 
                    <italic toggle="yes">climate change education</italic>, 
                    <italic toggle="yes">vocational education</italic>, 
                    <italic toggle="yes">green skills</italic>, and 
                    <italic toggle="yes">circular economy</italic>&#x2014;terms that, while growing rapidly, remain underrepresented relative to the ESD core.</p>
            </sec>
            <sec id="sec13">
                <title>Social Structure: Collaboration Patterns</title>
                <p>The co-authorship network by authors reveals a characteristic pattern of fragmented collaboration: research teams are predominantly small and largely independent, with no single dominant team spanning the entire field. The institutional co-authorship network (526 nodes, 200 clusters) exhibits extreme fragmentation, with an average cluster size of only 2.6 nodes and 107 institutions (20.3%) remaining as isolates with no co-authorship links. The largest co-authorship cluster centers on Portuguese, Brazilian, and German universities&#x2014;Universidade Aberta, Universitat Hamburg, HAW Hamburg, and Manchester Metropolitan University&#x2014;reflecting a Lusophone&#x2013;Germanic collaborative axis (
                    <xref ref-type="bibr" rid="ref38">Caeiro &amp; Miranda Azeiteiro, 2020</xref>; W. L. 
                    <xref ref-type="bibr" rid="ref64">Filho et al., 2020</xref>). A German sustainability education cluster connects Leuphana University with Eberswalde University for Sustainable Development, while a Spanish&#x2013;Latin American cluster bridges Universidad de Salamanca with Colombian and Mexican institutions.</p>
                <p>This fragmented collaboration structure, while indicative of a diverse and distributed research community, also signals limited cross-regional and cross-paradigmatic exchange&#x2014;a structural feature that may partially explain the conceptual fragmentation between ESD, climate literacy, and green skills traditions identified in the keyword analysis.</p>
            </sec>
            <sec id="sec14">
                <title>Population, Methodological, and Instrumental Characterization</title>
                <p>The population analysis (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;442 articles) reveals that students constitute the dominant study population. Aggregating all student-related categories&#x2014;undergraduate students (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;43, 9.6%), university students (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;58, 13.0%), higher education students (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;28, 6.3%), business students (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;9, 2.0%), and engineering students (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;8, 1.8%)&#x2014;yields approximately 146 articles (32.7%) focused on the student experience. Articles classified under the broader category of &#x201c;Higher Education Context&#x201d; account for 73 (16.4%), typically describing institutional settings without specifying a discrete study population. Faculty and educator categories collectively account for 31 articles (7.0%), comprising university educators (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;13), university faculty (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;12), and teacher educators (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;6). Pre-service teachers represent a distinctive population (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;21, 4.7%), bridging the student and educator domains (
                    <xref ref-type="table" rid="T3">
Table 3</xref>).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Population categories distribution (top 10).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Population category</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">n</italic>
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
%</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Higher Education Context</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">University Students</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">58</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Undergraduate Students</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Higher Education Students</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Pre-service Teachers</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">University Educators</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">University Faculty</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Business Students</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Higher Education Institutions</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Engineering Students</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.8</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>Research designs exhibit a similarly concentrated pattern. Survey designs lead (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;87, 19.5%), followed by case studies (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;81, 18.2%), qualitative approaches (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;50, 11.2%), and quantitative studies (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;43, 9.6%). Mixed-methods designs account for 30 articles (6.7%), while interview-based studies contribute 26 (5.8%). Experimental and quasi-experimental designs together account for only 18 articles (4.0%), reflecting the field&#x2019;s limited engagement with controlled interventional research&#x2014;a critical gap for establishing causal evidence on pedagogical effectiveness. Content analysis (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;23) and systematic reviews (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;13) represent the documentary and meta-analytic traditions, respectively (
                    <xref ref-type="table" rid="T4">
Table 4</xref>).</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>Research design distribution.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Research design</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">n</italic>
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
%</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Survey</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">87</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Case Study</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Qualitative</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Quantitative</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Mixed Methods</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Interview-based
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Content Analysis</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Action Research</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Experimental</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Systematic Review</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Quasi-experimental
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.9</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>Among reported sample sizes (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;139 studies, 31.2% of the corpus), the median was 203 and the mean 1,576.2, with a range from 5 to 90,000. The pronounced right skew (mean/median ratio&#x00a0;=&#x00a0;7.8:1) indicates that the evidence base is dominated by small-to-medium-scale studies, with a small number of large-scale surveys inflating the mean.</p>
                <p>The research focus distribution (
                    <xref ref-type="table" rid="T5">
Table 5</xref>) reveals that Curriculum Design and Integration (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;81) leads the scholarly agenda, followed by Institutional Policy and Strategy (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;53), Teaching Methods and Pedagogy (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;45), and Framework and Model Development (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;40). Professional Development (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;36) and Learning Outcomes and Effectiveness (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;31) form a second tier. The emergence of Review and Bibliometric Analysis as a distinct focus (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;31) reflects the field&#x2019;s growing reflexive awareness. Critically underrepresented areas include Technology and Digital Learning (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;13) and Interdisciplinary and Systems Thinking (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;5).</p>
                <table-wrap id="T5" orientation="portrait" position="float">
                    <label>
Table 5. </label>
                    <caption>
                        <title>Research focus distribution.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Research focus</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">n</italic>
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
%</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Curriculum Design &amp; Integration</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Institutional Policy &amp; Strategy</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Teaching Methods &amp; Pedagogy</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Framework &amp; Model Development</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Professional Development</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Learning Outcomes &amp; Effectiveness</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Review &amp; Bibliometric Analysis</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Competencies &amp; Skills</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Assessment &amp; Evaluation</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Student Perceptions &amp; Attitudes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.9</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>The most commonly employed instruments are questionnaires (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;61) and surveys (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;38), which together account for 99 articles&#x2014;confirming the field&#x2019;s reliance on self-report instruments. Interviews constitute the third most frequent tool (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;28), followed by content analysis (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;14) and case studies (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;12). Project-based learning stands as the most frequently documented pedagogical intervention (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;11), as exemplified by 
                    <xref ref-type="bibr" rid="ref68">Fuertes Camacho et al. (2019)</xref>, 
                    <xref ref-type="bibr" rid="ref46">Cottafava et al. (2019)</xref>, and 
                    <xref ref-type="bibr" rid="ref17">Ariza and Olatunde-Aiyedun (2023)</xref>.</p>
            </sec>
            <sec id="sec15">
                <title>Inductive Thematic Synthesis</title>
                <p>The inductive thematic analysis of 442 abstracts, conducted through iterative coding across 15 analytic batches using large language model-assisted extraction with systematic hallucination control, yielded five consolidated themes (
                    <xref ref-type="table" rid="T6">
Table 6</xref>). The overall alignment score was 92%, with 37 hallucination flags identified and subjected to human expert review, indicating robust fidelity between extracted themes and source abstracts.</p>
                <table-wrap id="T6" orientation="portrait" position="float">
                    <label>
Table 6. </label>
                    <caption>
                        <title>Consolidated thematic taxonomy.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Theme</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sub-themes
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Robustness</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1. ESD Integration in Curricula</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">(a) Curriculum reform and subject-specific integration; (b) Barriers to ESD implementation</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">High</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2. Transformative Pedagogies and Experiential Learning</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">(a) Student engagement through experiential learning; (b) Transformative and transdisciplinary pedagogies</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">High</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3. Institutional and Faculty Roles in Advancing ESD</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">(a) Faculty and institutional leadership; (b) Educator transformation and professional development</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">High</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">4. Sustainability Literacy, Values, and Behavioral Outcomes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">(a) Sustainability literacy and assessment; (b) Value-based learning and pro-environmental behavior</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">High</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">5. Digital Innovation in ESD Delivery</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">(a) Digital and virtual learning environments; (b) Emerging technologies in sustainability education</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">High</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>Theme 1 (ESD Integration) captures studies focused on embedding sustainability principles into curricular structures, including SDG alignment (
                    <xref ref-type="bibr" rid="ref5">Ahmad et al., 2023</xref>; 
                    <xref ref-type="bibr" rid="ref24">Balan et al., 2025</xref>) and the persistent challenges of institutional resistance and faculty awareness gaps (
                    <xref ref-type="bibr" rid="ref2">Acosta-Castellanos &amp; Queiruga-Dios, 2022</xref>). Theme 2 (Transformative Pedagogies) spans active learning strategies such as project-based learning (
                    <xref ref-type="bibr" rid="ref56">Du et al., 2022</xref>), experiential approaches including service learning and community engagement (
                    <xref ref-type="bibr" rid="ref16">&#x00c1;lvarez-Vanegas &amp; Volante, 2024</xref>), and technology-mediated instruction encompassing serious games (
                    <xref ref-type="bibr" rid="ref47">Cravero et al., 2021</xref>) and augmented reality (
                    <xref ref-type="bibr" rid="ref48">Czok et al., 2023</xref>). Theme 3 (Institutional Roles) documents the enabling conditions for curricular transformation, finding that teacher training programs precede and facilitate institutional change (
                    <xref ref-type="bibr" rid="ref31">Biasutti et al., 2018</xref>). Theme 4 (Sustainability Literacy) addresses the acquisition of knowledge, attitudes, behaviors, and values as educational outcomes, measured through instruments such as sustainability literacy tests and pre&#x2013;post evaluations. Theme 5 (Digital Innovation), the most temporally recent, reflects the growing role of virtual reality, digital twins, artificial intelligence, and online academies in ESD delivery.</p>
                <p>The cross-analysis identified three recurring inter-thematic configurations: (1) an 
                    <bold>Integrated Education Design</bold> configuration linking curriculum, pedagogy, and competencies as a coherent teaching&#x2013;learning system; (2) an 
                    <bold>Institutional Support System</bold> linking organizational strategies with educator development as enabling conditions; and (3) a 
                    <bold>Technology-Enhanced Learning</bold> trajectory connecting digital innovation with both pedagogical approaches and student outcomes.</p>
            </sec>
            <sec id="sec16">
                <title>Research Frontiers and Knowledge Gaps</title>
                <p>The state-of-the-art analysis identified 56 knowledge gaps classified into three taxonomic categories: structural gaps (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;25), declared gaps (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;23), and emergent gaps (
                    <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;8) (
                    <xref ref-type="fig" rid="f8">
Figure 8</xref>). The coverage analysis of Methods &#x00d7; Concepts matrices revealed 64.0% coverage (48 of 75 cells populated), while Methods &#x00d7; Applications achieved 74.1% coverage, indicating that approximately one-third of methodologically plausible combinations remain unexplored.</p>
                <fig fig-type="figure" id="f8" orientation="portrait" position="float">
                    <label>
Figure 8. </label>
                    <caption>
                        <title>Methods-by-concepts coverage matrix showing 64.0% overall coverage.</title>
                        <p>Each cell represents a unique combination of research design and conceptual domain. Filled cells indicate existing evidence; empty cells indicate structural knowledge gaps where methodologically plausible research combinations remain unexplored. Fifty-six knowledge gaps were identified across structural, declared, and emergent categories.</p>
                    </caption>
                    <graphic id="gr8" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/198464/e07972bc-35a1-4d91-8fcf-2d344c844852_figure8.gif"/>
                </fig>
                <p>

                    <bold>Structural gaps</bold> represent combinations of frequent approaches and domains that never co-occur in the corpus. The qualitative research tradition accounts for multiple structural gaps, being systematically absent from biology, clinical, and medical domains&#x2014;suggesting that human-dimension research has not penetrated health and natural-science sustainability subfields. The simulation&#x2013;pedagogy and case study&#x2013;ecology gaps indicate that innovative methodological approaches have not been systematically paired with emerging content domains.</p>
                <p>

                    <bold>Declared gaps</bold>, explicitly articulated by researchers within their abstracts, reveal a convergent pattern of concerns (
                    <xref ref-type="table" rid="T7">
Table 7</xref>). Multiple studies note the scarcity of longitudinal research on ESD intervention effects (
                    <xref ref-type="bibr" rid="ref35">Brassler, 2025</xref>; 
                    <xref ref-type="bibr" rid="ref44">Collado et al., 2022</xref>), the limited investigation of comparative studies between training formats (
                    <xref ref-type="bibr" rid="ref36">Brassler &amp; Schultze, 2021</xref>), and the absence of causal models of sustainability competency acquisition (
                    <xref ref-type="bibr" rid="ref1">Abdullahi et al., 2024</xref>). Researchers also identify insufficient attention to ESG integration in general education (
                    <xref ref-type="bibr" rid="ref43">Chien &amp; Chien, 2025</xref>) and the need for mixed-method approaches to capture institutional change dynamics (
                    <xref ref-type="bibr" rid="ref45">Costa et al., 2025</xref>).</p>
                <table-wrap id="T7" orientation="portrait" position="float">
                    <label>
Table 7. </label>
                    <caption>
                        <title>Selected declared knowledge gaps with representative references.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Gap area</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Key references</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Longitudinal impact assessment of ESD interventions</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref35">Brassler (2025)</xref>; 
                                    <xref ref-type="bibr" rid="ref44">Collado et al. (2022)</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Comparison between ESD delivery formats</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref36">Brassler &amp; Schultze (2021)</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Causal models of sustainability competency acquisition</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref1">Abdullahi et al. (2024)</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">ESG and financial sustainability in curricula</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref43">Chien &amp; Chien (2025)</xref>; 
                                    <xref ref-type="bibr" rid="ref72">Garcia-Hernandez et al. (2025)</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Scalability across geographic and institutional contexts</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref16">&#x00c1;lvarez-Vanegas &amp; Volante (2024)</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Mixed-method approaches for institutional change</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref45">Costa et al. (2025)</xref>
                                </td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>

                    <bold>Emergent gaps</bold> arise from rapidly growing areas that lack adequate methodological coverage. Simulation-based approaches show the highest growth rate (new entrant with 8 uncovered combinations), yet remain disconnected from pedagogical theory. Quantitative methods (2.36x growth) have seven uncovered combinations with key domains, while medical (2.81x growth) and clinical applications (2.11x growth) present expanding frontiers with insufficient qualitative coverage. The fastest-growing research frontiers include simulation (new), economic growth (3.37x), medical applications (2.81x), pedagogy as a concept (2.39x), and quantitative methods (2.36x).</p>
                <p>The convergence of these findings points to a field in active conceptual transition. The traditional ESD paradigm&#x2014;rooted in competence frameworks, institutional transformation, and curriculum integration&#x2014;is progressively intersecting with climate-specific constructs (climate literacy, climate action competence), green economy demands (green skills, sustainable entrepreneurship; 
                    <xref ref-type="bibr" rid="ref72">Garcia-Hernandez et al. (2025)</xref>; 
                    <xref ref-type="bibr" rid="ref41">Carstensen et al. (2025)</xref>), and digitally mediated pedagogies (simulations, serious games, AI-enhanced learning). Yet the evidence base remains characterized by survey and case-study dominance, limited experimental rigor, geographic Euro-centrism, and fragmented collaboration networks. The structural absence of qualitative research from health and natural-science domains and the emergent but methodologically underdeveloped frontiers of simulation and digital learning constitute the most pressing gaps for the next generation of ESD research in higher education and vocational education contexts.</p>
            </sec>
        </sec>
        <sec id="sec17" sec-type="discussion">
            <title>Discussion</title>
            <p>The bibliometric mapping and inductive thematic analysis of 442 documents spanning 2015&#x2013;2026 suggest that Education for Sustainable Development (ESD) in higher education has become an established research field with identifiable intellectual pillars, persistent geographic asymmetries, and notable methodological limitations. Five emergent themes&#x2014;curriculum integration, transformative pedagogies, institutional and faculty roles, sustainability literacy and behavioral outcomes, and digital innovation&#x2014;collectively delineate a field whose conceptual nucleus remains anchored in the competence-framework tradition (
                <xref ref-type="bibr" rid="ref133">Wiek et al., 2015</xref>) yet is progressively intersecting with climate-specific constructs and green economy demands. This discussion considers the main tensions, structural patterns, and emerging areas that the findings highlight, drawing on recent multidisciplinary evidence.</p>
            <sec id="sec18">
                <title>Aligning Educational Outcomes with the Green Economy: Geographic Asymmetries and Curricular Gaps</title>
                <p>The keyword co-occurrence analysis identified 
                    <italic toggle="yes">green skills</italic> and 
                    <italic toggle="yes">circular economy</italic> as rapidly growing yet peripheral concepts, occupying low-density areas in the network despite their increasing policy urgency. This peripherality&#x2014;consistent with the differential marginal contributions observed during search strategy validation, where terms such as 
                    <italic toggle="yes">climate literacy</italic> and 
                    <italic toggle="yes">green skill*</italic> proved necessary for capturing otherwise missed literature&#x2014;suggests a gap between the field&#x2019;s conceptual core and the workforce demands of the green transition. As nations pursue decarbonization and circular economy models, higher education institutions (HEIs) face growing expectations to prepare graduates with competencies in green finance, sustainable industrialization, and climate adaptation (
                    <xref ref-type="bibr" rid="ref52">Desalegn &amp; Tangl, 2022</xref>; 
                    <xref ref-type="bibr" rid="ref126">Tamasiga et al., 2025</xref>). Yet our results reveal that this pressure is unevenly distributed: Spain, the United Kingdom, and Germany collectively account for over one-third of all publications, while the Global South&#x2014;with the notable exceptions of Brazil, South Africa, and Colombia&#x2014;remains structurally underrepresented. This geographic concentration, corroborated by the co-authorship network where nine countries remain isolates with no collaborative links, points to a gap in current ESD research coverage. Developing nations face distinct challenges that may require localized, context-sensitive educational frameworks rather than imported models (
                    <xref ref-type="bibr" rid="ref53">Dias Pai&#x00e3;o J&#x00fa;nior &amp; Ferraz, 2024</xref>; 
                    <xref ref-type="bibr" rid="ref105">Ndoka &amp; Leskaj, 2025</xref>). Addressing this gap would involve linking ESD more closely to labor market realities, connecting academic sustainability with green skills relevant to regional industrial contexts (
                    <xref ref-type="bibr" rid="ref72">Garcia-Hernandez et al., 2025</xref>; 
                    <xref ref-type="bibr" rid="ref122">St Flour &amp; Bokhoree, 2021</xref>).</p>
            </sec>
            <sec id="sec19">
                <title>Pedagogical Transformation, Sustainability Literacy, and the Measurement Challenge</title>
                <p>The dominance of Theme 2 (Transformative Pedagogies) and Theme 4 (Sustainability Literacy and Behavioral Outcomes) in our thematic synthesis confirms that the field has moved decisively beyond transmissive instruction toward experiential, student-centered paradigms. However, a critical tension emerges from the methodological characterization: surveys and case studies together account for nearly 38% of all research designs, while experimental and quasi-experimental designs represent only 4.0% of the corpus. This methodological imbalance limits the field&#x2019;s capacity to establish causal evidence for pedagogical effectiveness. Several authors argue that complex sustainability problems are difficult to address within monodisciplinary silos, suggesting that HEIs should foster environments where students and external partners co-construct knowledge through real-world engagement (
                    <xref ref-type="bibr" rid="ref87">Kurris et al., 2026</xref>; 
                    <xref ref-type="bibr" rid="ref91">Leal Filho et al., 2025</xref>). SDG-aligned projects in STEM fields suggest that experiential learning can enhance interdisciplinary competencies, intercultural awareness, and intrinsic motivation (
                    <xref ref-type="bibr" rid="ref78">Hu, 2026</xref>; 
                    <xref ref-type="bibr" rid="ref81">Johnson, 2026</xref>; 
                    <xref ref-type="bibr" rid="ref113">Poya, 2026</xref>; 
                    <xref ref-type="bibr" rid="ref117">Roy et al., 2025</xref>). Embedding climate change adaptation into civil engineering curricula equips future professionals with both technical viability and ethical capacity for resilient infrastructure design (
                    <xref ref-type="bibr" rid="ref22">Baah et al., 2025</xref>; 
                    <xref ref-type="bibr" rid="ref57">Dupuis et al., 2025</xref>; 
                    <xref ref-type="bibr" rid="ref86">Kordi et al., 2025</xref>).</p>
                <p>Yet the measurement of sustainability literacy&#x2014;particularly the transition from &#x201c;knowing&#x201d; to &#x201c;doing&#x201d;&#x2014;remains a declared knowledge gap across the corpus. Our gap analysis identified the scarcity of longitudinal impact assessments and causal models of competency acquisition as the most recurrently articulated research needs. The concept of &#x201c;Work 5.0,&#x201d; combining human-centric principles with advanced technologies, calls for competence frameworks that include critical reflection, digital literacy, and systems thinking (
                    <xref ref-type="bibr" rid="ref136">Zare et al., 2026</xref>). This suggests that ESD may need to move beyond knowledge acquisition toward fostering the dispositions and skills that enable graduates to integrate sustainability considerations into their professional practice (
                    <xref ref-type="bibr" rid="ref63">Ferreira De Mello et al., 2026</xref>; 
                    <xref ref-type="bibr" rid="ref94">L&#x00f3;pez et al., 2025</xref>).</p>
            </sec>
            <sec id="sec20">
                <title>The Institutional Architecture: From Declarations to Structural Embeddedness</title>
                <p>While pedagogical innovation operates at the micro-level, the institutional environment functions as either catalyst or barrier to ESD implementation. Our results identified extreme fragmentation in the institutional co-authorship network&#x2014;200 clusters across 526 institutions with 20.3% remaining as isolates&#x2014;revealing that ESD research is conducted in largely disconnected pockets with limited cross-institutional exchange. This structural fragmentation mirrors qualitative findings from diverse contexts: despite growing international pressure, SDG integration is frequently hampered by weak institutional commitment, resource constraints, and absent implementation structures (
                    <xref ref-type="bibr" rid="ref49">Dalelo, 2026</xref>). This suggests that HEIs may need to move beyond declarative sustainability commitments toward embedding sustainability more systematically into governance, campus operations, and curriculum development (
                    <xref ref-type="bibr" rid="ref18">Arnado, 2023</xref>; 
                    <xref ref-type="bibr" rid="ref40">Campos Junges et al., 2026</xref>).</p>
                <p>An important component of this institutional dimension is faculty development. Our population analysis found that educators and faculty constitute only 7.0% of all study populations, compared to 32.7% for students&#x2014;a ratio that suggests the field has focused predominantly on learner outcomes, with less attention to the educators responsible for pedagogical delivery. Studies on faculty development interventions, whether delivered through digital platforms or face-to-face modalities, report improvements in self-efficacy, knowledge, and student engagement (
                    <xref ref-type="bibr" rid="ref77">Hemmer et al., 2024</xref>; 
                    <xref ref-type="bibr" rid="ref116">Ravdansuren et al., 2025</xref>). From an ecological perspective, educator development is shaped by the interplay of individual capabilities, institutional support, collaboration with external stakeholders, and policy environments (
                    <xref ref-type="bibr" rid="ref29">Bebenimibo &amp; Mutua, 2025</xref>; J. 
                    <xref ref-type="bibr" rid="ref130">Wang &amp; Jiang, 2025</xref>). Competency-oriented assessment frameworks&#x2014;such as the Rounder Sense of Purpose&#x2014;may help ensure that sustainability education translates into measurable outcomes, particularly in foundational domains like pre-service teacher training (
                    <xref ref-type="bibr" rid="ref25">Balis &amp; Vungthong, 2026</xref>; 
                    <xref ref-type="bibr" rid="ref129">Valderrama-Hern&#x00e1;ndez et al., 2025</xref>). Institutional support also directly mediates the relationship between students&#x2019; sustainability competencies and their pro-environmental behavioral intentions (
                    <xref ref-type="bibr" rid="ref19">Arnejo et al., 2025</xref>), reinforcing the inseparability of institutional infrastructure and individual learning outcomes.</p>
            </sec>
            <sec id="sec21">
                <title>Digital Innovation and the Emergent Research Frontier</title>
                <p>Our keyword analysis positioned 
                    <italic toggle="yes">e-learning
</italic>, 
                    <italic toggle="yes">massive open online courses</italic>, and 
                    <italic toggle="yes">serious games</italic> within the engineering and interdisciplinarity cluster, while the state-of-the-art gap analysis identified simulation-based approaches as the fastest-growing methodological frontier with the highest number of uncovered domain combinations. This convergence points to digital innovation as a rapidly growing yet methodologically underdeveloped area in ESD research. The emerging &#x201c;University 5.0&#x201d; model proposes linking technological adoption to inclusivity, equity, and environmental responsibility (
                    <xref ref-type="bibr" rid="ref100">Morales-Arevalo et al., 2025</xref>). Digital workflows and virtual collaborative environments offer opportunities for expanding access and reducing carbon footprints (
                    <xref ref-type="bibr" rid="ref59">Eisinger Balassa &amp; Buics, 2026</xref>; 
                    <xref ref-type="bibr" rid="ref73">Gavrus et al., 2025</xref>), while innovative applications such as telepresence robots with gamification elements boost engagement among geographically isolated demographics (
                    <xref ref-type="bibr" rid="ref3">Addas et al., 2024</xref>). Yet the literature sharply cautions against uncritical deployment: digitalization can exacerbate divides, generate electronic waste, and produce hidden environmental costs through energy-intensive data processing. In conflict-affected or resource-constrained regions, however, digital transformation acts as a vital mechanism for academic resilience (
                    <xref ref-type="bibr" rid="ref12">Al-Shaer et al., 2025</xref>).</p>
                <p>Our coverage matrix revealed that the qualitative research tradition is systematically absent from clinical, medical, and biological sustainability domains&#x2014;a structural gap that digital and simulation-based methods are uniquely positioned to address. The integration of virtual reality, digital twins, and AI-enhanced learning environments into ESD could offer new possibilities for investigating competency acquisition in domains where field experimentation is ethically or logistically constrained. This suggests that HEIs would benefit from approaching digital transformation with sustainability considerations in mind (
                    <xref ref-type="bibr" rid="ref128">Trevisan et al., 2024</xref>).</p>
                <p>Taken together, these findings suggest that further development of ESD in higher education involves multiple interconnected dimensions: aligning curricula with green economy needs, strengthening institutional support mechanisms, using digital transformation responsibly, and investing in faculty development. The 56 knowledge gaps identified in this review offer a structured starting point for future research planning.</p>
            </sec>
        </sec>
        <sec id="sec22" sec-type="conclusions">
            <title>Conclusions</title>
            <p>This study mapped the intellectual, social, and conceptual structure of Education for Sustainable Development in higher and vocational education by integrating bibliometric network analysis with artificial intelligence-assisted inductive thematic synthesis. The analysis of 442 documents spanning 2015&#x2013;2026 yielded several findings that complement prior reviews, which have typically focused on specific regions, sub-disciplines, or implementation practices.</p>
            <p>First, the temporal and geographic profiling established that the field has undergone exponential growth since 2019, yet this expansion is concentrated in Western Europe&#x2014;with Spain, the United Kingdom, and Germany accounting for over one-third of all output&#x2014;while the Global South remains structurally underrepresented despite its disproportionate exposure to sustainability challenges. The co-authorship network further revealed that nine countries and over 20% of institutions operate in complete isolation, signaling that the field&#x2019;s growth is extensive rather than integrative.</p>
            <p>Second, the intellectual structure analysis uncovered a field organized around five co-citation pillars anchored by the competence-framework tradition, with 
                <xref ref-type="bibr" rid="ref137">Wiek et al. (2011)</xref> as the foundational reference. The journal landscape is governed by a clear two-journal core&#x2014;the 
                <italic toggle="yes">International Journal of Sustainability in Higher Education</italic> and 
                <italic toggle="yes">Sustainability</italic>
&#x2014;yet the emergence of 
                <italic toggle="yes">Journal of Cleaner Production</italic> as a third gravitational center reveals the field&#x2019;s progressive connection to applied sustainability science. The keyword co-occurrence network of 352 terms organized into seven clusters confirmed that while the conceptual nucleus remains anchored in the ESD&#x2013;higher education nexus, peripheral areas including climate literacy, green skills, and vocational education are expanding rapidly without yet achieving structural integration with the core.</p>
            <p>Third, the methodological characterization exposed a critical evidence gap: surveys and case studies dominate the research landscape, while experimental and quasi-experimental designs account for only 4.0% of all studies. The population focus is overwhelmingly student-centered, with faculty and educators representing a mere 7.0% of study populations&#x2014;an asymmetry that constrains understanding of the very agents responsible for curricular transformation. Sample sizes are predominantly small to medium, and nearly one in five articles fails to report its study population, reflecting a persistent reporting deficit.</p>
            <p>Fourth, the inductive thematic synthesis&#x2014;verified at a 92% alignment score with 37 hallucination flags subjected to human expert review&#x2014;consolidated the discourse into five themes: ESD integration in curricula, transformative pedagogies and experiential learning, institutional and faculty roles, sustainability literacy and behavioral outcomes, and digital innovation in ESD delivery. The cross-thematic analysis revealed three recurring configurations: an integrated education design system linking curriculum, pedagogy, and competencies; an institutional support system connecting organizational strategies with educator development; and a technology-enhanced learning trajectory linking digital tools with pedagogical approaches and student outcomes.</p>
            <p>Fifth, the systematic knowledge gap analysis identified 56 gaps classified as structural, declared, and emergent. The coverage matrix of methods by concepts achieved only 64.0% coverage, confirming that approximately one-third of methodologically plausible combinations remain unexplored. The structural absence of qualitative research from health and natural-science sustainability domains, combined with the emergent but methodologically underdeveloped frontiers of simulation and clinical applications, represents a notable gap for future scholarship to address.</p>
            <sec id="sec23">
                <title>Limitations</title>
                <p>Several inherent limitations must be acknowledged. The reliance on Scopus, Web of Science, and ERIC inherently favors English-language, indexed publications and may underrepresent sustainability discourse emerging from regional or non-indexed journals. The exclusion of gray literature, institutional reports, and policy documents limits the capture of practitioner-oriented knowledge. While the LLM-assisted thematic analysis increased the capacity for qualitative synthesis at scale, its interpretive outputs are constrained by the algorithmic architecture of the applied generative models, despite the 92% alignment verification, 37 hallucination flags reviewed, and human expert validation protocols.</p>
            </sec>
            <sec id="sec24">
                <title>Future Research Directions</title>
                <p>The convergence of the identified knowledge gaps points toward four priority axes for future investigation. First, the field urgently requires a methodological pivot toward longitudinal and experimental designs capable of establishing causal evidence for the impact of specific pedagogical interventions on sustained behavioral outcomes. Second, research must amplify scholarship from the Global South, developing context-sensitive frameworks that address the distinct socio-economic barriers to ESD implementation in developing contexts. Third, simulation-based and digitally mediated approaches&#x2014;the fastest-growing yet most methodologically disconnected frontier&#x2014;demand systematic pedagogical theorization to move beyond technological novelty toward evidence-based integration. Fourth, the extreme fragmentation of collaboration networks calls for deliberate cross-institutional and cross-regional research consortia capable of generating the comparative, multi-site evidence that the field currently lacks. Addressing these axes could contribute to moving the field from conceptual proliferation toward a more evidence-based approach to sustainability education in the context of the 2030 Agenda.</p>
            </sec>
        </sec>
        <sec id="sec31">
            <title>Author contributions</title>
            <p>Author contributions are reported using the CRediT (Contributor Roles Taxonomy) framework:
                <list list-type="bullet">
                    <list-item>
                        <label>&#x2022;</label>
                        <p>

                            <bold>Segundo Francisco Segura-Altamirano:</bold> Conceptualization, Data Curation, Formal Analysis, Methodology, Software, Visualization, Writing &#x2013; Original Draft Preparation.</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>

                            <bold>Julio Santos Hilario-Vargas:</bold> Data Curation, Formal Analysis, Methodology, Supervision, Validation, Writing &#x2013; Original Draft Preparation, Writing &#x2013; Review &amp; Editing.</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>

                            <bold>Lindon Vela-Melendez:</bold> Conceptualization, Data Curation, Formal Analysis, Methodology, Software, Validation, Writing &#x2013; Original Draft Preparation.</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>

                            <bold>Carmen Graciela Arbulu-Perez-Vargas:</bold> Investigation, Formal Analysis, Methodology, Supervision, Writing &#x2013; Original Draft Preparation.</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>

                            <bold>Jose Teodoro Reupo-Periche:</bold> Investigation, Resources, Writing &#x2013; Original Draft Preparation.</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>

                            <bold>Jhon Wiston Garcia-Lopez:</bold> Investigation, Resources, Writing &#x2013; Original Draft Preparation.</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>

                            <bold>Mauro Adriel Rios-Villacorta:</bold> Investigation, Formal Analysis, Methodology, Supervision, Writing &#x2013; Original Draft Preparation.</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>

                            <bold>Hugo Javier Chiclayo-Padilla:</bold> Data Curation, Project Administration, Validation, Writing &#x2013; Review &amp; Editing.</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>

                            <bold>Diana Mercedes Castro-Cardenas:</bold> Conceptualization, Data Curation, Formal Analysis, Software, Validation.</p>
                    </list-item>
                </list>
            </p>
        </sec>
    </body>
    <back>
        <sec id="sec30" sec-type="dataAvailability">
            <title>Data availability</title>
            <p>All data underlying this study&#x2014;including bibliographic datasets (
                <italic toggle="yes">n</italic>&#x00a0;=&#x00a0;442 articles), enriched metadata, extraction templates, analysis scripts, VOSviewer maps, qualitative codebooks, and thematic synthesis outputs&#x2014;are openly available in a version-controlled repository.</p>
            <p>Zenodo: &#x201c;Mapping the Intellectual Architecture of Education for Sustainable Development in Higher Education: A Bibliometric and AI-Assisted Thematic Synthesis &#x2014; Data and Analysis Repository (v1.0.0)&#x201d;. 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19416905">https://doi.org/10.5281/zenodo.19416905</ext-link> (
                <xref ref-type="bibr" rid="ref149">Segura-Altamirano et al., 2026</xref>).</p>
        </sec>
        <sec id="sec29">
            <title>Software availability</title>
            <p>All computational analyses were conducted in 
                <bold>Python 3.9.7</bold> (Python Software Foundation, 
                <ext-link ext-link-type="uri" xlink:href="https://www.python.org">https://www.python.org</ext-link>). The key libraries and their versions used were: numpy 2.0.2 and scipy 1.13.1 for numerical computation; matplotlib 3.9.4 and seaborn 0.13.2 for static visualizations; plotly 6.5.2 with kaleido 1.2.0 for interactive and exportable figures; networkx 3.2.1 with python-louvain 0.16 for network construction and community detection; scikit-learn 1.6.1 for clustering and dimensionality reduction; nltk 3.9.2 and wordcloud 1.9.6 for text processing; bibtexparser 1.4.4 for bibliographic record parsing; RapidFuzz 3.13.0 for fuzzy string deduplication; and openpyxl 3.1.5 for spreadsheet handling. The AI-assisted thematic analysis was conducted via the OpenAI-compatible API client (openai 2.24.0) interfacing with Qwen3-235B and DeepSeek V3.2 models. The multi-rater LLM screening platform was developed in-house using Python with tkinter for the graphical interface and SQLite for traceability logging. Bibliometric network visualizations (co-citation, co-authorship, keyword co-occurrence) were generated using 
                <bold>VOSviewer 1.6.20</bold> (Centre for Science and Technology Studies, Leiden University; 
                <ext-link ext-link-type="uri" xlink:href="https://www.vosviewer.com">https://www.vosviewer.com</ext-link>).
                <list list-type="bullet">
                    <list-item>
                        <label>&#x2022;</label>
                        <p>Software available from: 
                            <ext-link ext-link-type="uri" xlink:href="https://www.python.org">https://www.python.org</ext-link>; 
                            <ext-link ext-link-type="uri" xlink:href="https://www.vosviewer.com">https://www.vosviewer.com</ext-link>
                        </p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>Source code available from: 
                            <ext-link ext-link-type="uri" xlink:href="https://github.com/sefran1020/Mapp_ESD_HE_Bibliometric">https://github.com/sefran1020/Mapp_ESD_HE_Bibliometric
</ext-link>
                        </p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>Archived source code at time of publication: 
                            <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19416905">https://doi.org/10.5281/zenodo.19416905</ext-link>
                        </p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>License: MIT (source code); CC BY 4.0 (data and analysis outputs)</p>
                    </list-item>
                </list>
            </p>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>Not applicable.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report489767">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.198464.r489767</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Apata</surname>
                        <given-names>Olukayode E.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r489767a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0826-1291</uri>
                </contrib>
                <aff id="r489767a1">
                    <label>1</label>Texas A&amp;M University, College Station, Texas, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>11</day>
                <month>6</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Apata OE</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport489767" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.179905.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This article presents a timely bibliometric and AI-assisted thematic synthesis of Education for Sustainable Development in higher education. The topic is important, current, and relevant to higher education research, especially given the increasing attention to sustainability competencies, climate literacy, green skills, digital innovation, and institutional transformation. Overall, the article has scholarly value and provides a useful overview of the intellectual, conceptual, social, and methodological structure of the field.</p>
            <p> </p>
            <p> The study has several strengths. The use of Scopus, Web of Science, and ERIC strengthens the breadth of the corpus, and the final dataset of 442 documents provides a reasonable basis for bibliometric analysis. The combination of co-citation analysis, bibliographic coupling, keyword co-occurrence analysis, and AI-assisted thematic synthesis is appropriate for the stated aims of the study. The findings are also useful, particularly the discussion of geographic concentration, fragmented institutional collaboration, the dominance of surveys and case studies, the underrepresentation of faculty populations, and the peripheral position of climate literacy and green skills.</p>
            <p> </p>
            <p> I also appreciate the authors&#x2019; effort to support transparency and reproducibility by making the data and analysis materials available. The discussion and conclusion are generally aligned with the findings, especially the call for more longitudinal and experimental designs, stronger representation of Global South scholarship, increased attention to faculty development, and better integration of digital and simulation-based pedagogies.</p>
            <p> </p>
            <p> However, I recommend revisions before the article is approved.</p>
            <p> </p>
            <p> First, the search strategy and corpus definition need clearer reporting. The manuscript states that the final corpus spans 2015 to 2026, while the methodology also states that the temporal scope was deliberately unconstrained up to the retrieval date. The authors should clarify whether records before 2015 were excluded, absent from the search results, or removed during screening. The exact adapted search strings for Scopus, Web of Science, and ERIC should also be provided in full, including field tags, document type filters, language filters, and any database-specific syntax. This would make the search process more reproducible.</p>
            <p> </p>
            <p> Second, the screening and relevance procedures need more detail. The use of a PICO-adapted framework is reasonable, but the calculation of the composite relevance score and the 0.80 inclusion threshold should be explained more explicitly. The authors should provide the formula or decision rules used to weight categorical decisions and confidence ratings. I also want the authors to clarify whether the three reviewers were human expert reviewers, members of the author team, or part of the LLM-assisted screening platform. The manuscript reports strong reviewer agreement, with 98.4% unanimous agreement and 100% majority agreement. I still recommend including a standard inter-rater reliability measure, such as Fleiss&#x2019; kappa or similar statistics, so readers can better assess the consistency of the screening process.</p>
            <p> </p>
            <p> Third, there appears to be a possible inconsistency regarding systematic reviews. The Data Acquisition section states that systematic reviews were excluded to prevent epistemological circularity, but the Results section later reports systematic reviews as part of the research design distribution. The authors should clarify whether systematic reviews were excluded at retrieval, removed during screening, or retained if they met specific criteria. This point is important because it affects the interpretation of the final corpus.</p>
            <p> </p>
            <p> Fourth, the AI-assisted thematic synthesis is one of the most novel aspects of the article, but it requires more methodological transparency. The authors state that Qwen3-235B was used for thematic extraction and DeepSeek V3.2 for cross-thematic reasoning, with a 92% alignment score and 37 hallucination flags subjected to human review. However, the manuscript should define how the alignment score was calculated, what counted as a hallucination flag, how the flags were reviewed, and how many required corrections. The authors should also consider providing the prompts, model settings, dates of model access, batch structure, coding instructions, and examples of AI-generated themes before and after human validation. Because the AI-assisted process is central to the article&#x2019;s contribution, readers need enough detail to evaluate its rigor and reproducibility.</p>
            <p> </p>
            <p> Fifth, the knowledge gap analysis is impressive but should be more fully operationalized. The manuscript identifies 56 gaps and classifies them as structural, declared, and emergent. However, the coding rules for these categories should be described more clearly. The authors should explain how concepts, methods, and applications were coded into the coverage matrix, how empty cells were interpreted as meaningful gaps, and how emergent gaps were distinguished from underrepresented but stable areas. The authors may also include a brief example illustrating how one gap was identified and classified, which would help readers follow the process more easily.</p>
            <p> </p>
            <p> Sixth, some claims should be moderated or supported with additional evidence. For example, the article repeatedly describes the field&#x2019;s growth as exponential. If this claim is retained, the authors should provide statistical evidence or model fit to support it. Otherwise, the wording could be revised to &#x201c;rapid growth&#x201d; or &#x201c;substantial growth.&#x201d; Similarly, claims about the underrepresentation of the Global South should be framed in light of the study&#x2019;s database and language limitations, since reliance on Scopus, Web of Science, and ERIC may lead to an underrepresentation of regional journals, non-English scholarship, and practitioner-oriented knowledge.</p>
            <p> </p>
            <p> I also recommend several minor revisions. The authors should define abbreviations such as TLS and PICO when they first appear. They should ensure that all tables and figures are fully readable and self-contained. Some sections of the Introduction and Discussion should be tightened to reduce repetition. The authors may also consider adding a PRISMA-style checklist or appendix to improve transparency around search, screening, inclusion, and exclusion procedures.</p>
            <p> </p>
            <p> In conclusion, this is a valuable and timely article with a strong topic, a substantial corpus, and useful findings for Education for Sustainable Development in higher education. My recommendation is Approved with reservations. The article has clear academic merit, but the authors should strengthen the transparency and reproducibility of the search strategy, screening procedures, AI-assisted thematic synthesis, and knowledge gap analysis before the paper is considered fully satisfactory.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Educational Psychology; Research, Measurement, and Statistics; Higher Education; Educational Research Methods; Systematic Review; Generative AI in Higher Education.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
