<?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.170888.1</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>The impact of numerical simulation on concepts related to electrochemistry and on situational interest among high school students in their final year</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Boukhari</surname>
                        <given-names>Safa</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/">Funding Acquisition</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/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0009-0004-7887-3431</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>Radid</surname>
                        <given-names>Mohamed</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/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sadiq</surname>
                        <given-names>Mounir</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/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Chemsi</surname>
                        <given-names>Ghizlane</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/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Laboratory of Mathematics, Artificial Intelligence, and Digital Learning, Faculty of Science Ben M'sik, ENS Casablanca, Hassan II University of Casablanca, Casablanca, Morocco</aff>
                <aff id="a2">
                    <label>2</label>Laboratory of Information and Educational Sciences and Technologie, Faculty of Sciences Ben M'sik, Hassan II University of Casablanca, Casablanca, Morocco</aff>
                <aff id="a3">
                    <label>3</label>Laboratory of Computer Science and Modeling, Faculty of Sciences Ben M'sik, Hassan II University of Casablanca, Casablanca, Morocco</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:bsafa7582@gmail.com">bsafa7582@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>19</day>
                <month>12</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>1413</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>11</day>
                    <month>12</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Boukhari S et al.</copyright-statement>
                <copyright-year>2025</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/14-1413/pdf"/>
            <abstract>
                <p>In a context where teaching electrochemistry concepts requires pedagogical approaches capable of fostering student understanding and supporting their situational interest, this study aimed to examine the effect of teaching based on numerical simulation on students&#x2019; situational interest and academic performance. It involved 1,020 secondary school students. The sample was divided into an experimental group and a control group. A pre-test and a post-test were administered to assess the impact of this intervention on student performance. The main results are: a comparison of the pre-test and post-test results showed a significant improvement in the mean scores of the experimental group compared to the control group. A Student&#x2019;s t-test for independent samples revealed a significant difference between the two groups, t(1018) = 2.643, p = 0.008, indicating that the experimental group achieved significantly greater improvements than the control group. A comparison of incorrect answers between the two groups revealed a decrease in misconceptions in the experimental group. The IS2G scale was used to measure situational interest. A mixed-variance analysis revealed a significant interaction effect between time and group, F(1) = 27.11, p &#x2264; 0.001, and &#x03b7;
                    <sup>2</sup>p = 0.026. This indicates that the use of simulation led to increased interest among the students who participated in this intervention. In conclusion, the use of interactive numerical simulations represents a promising approach to facilitate the learning of electrochemistry and stimulate student interest.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>digital simulation</kwd>
                <kwd>situational interest</kwd>
                <kwd>electrochemistry</kwd>
                <kwd>learning representation</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>Around a global scale, technological advances have led to significant changes in all areas, including education. For example, the emergence of new professions is prompting educators and education researchers to refocus their attention on teaching methods that promote the development of digital skills and the complex skills essential to these professions, such as creativity, critical thinking, and problem solving. Moreover, the adoption of educational programs and approaches that do not improve the required digital skills widens the gap between the omnipresence of digital technology in learners&#x2019; daily lives and the teaching practices they receive at school. When students realize that the skills they are acquiring do not correspond to their daily needs, they lose interest in their studies, and their motivation decreases when learning practices are perceived as not being very useful in their future careers.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Interest-based learning, which refers to intrinsic motivation, is a key pillar of academic success, encouraging learners to overcome the obstacles and challenges they encounter throughout their educational journey.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Therefore, interest-guided learning not only reduces the risk of dropping out, but also promotes cognitive mechanisms of elaboration and self-regulation, which facilitates the management of learning difficulties.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Similarly, perceived difficulties have a decisive impact on interest in learning. In this sense, numerous studies indicate that the accumulated difficulties of certain scientific subjects, due to their abstract nature and complexity, lead to a decline in learners&#x2019; interest, particularly in chemistry and physics, which are considered complex disciplines,
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> which require critical thinking and abstraction skills to understand. In this context, several authors believe that students perceive chemistry as uninteresting and difficult.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Thus, for decades, the concepts of electrochemistry have remained complicated and abstract for learners.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> Given the fundamental impact of electrochemistry in industrial and technological sectors, particularly in the production of electrical energy and the design of batteries in portable technologies, the teaching and learning of this discipline deserve special attention in order to meet the growing demands of the current era, which justifies the growing interest around the difficulties of learning electrochemistry and the essential concepts for its understanding.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>,
                    <xref ref-type="bibr" rid="ref13">13</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> The difficulties encountered are classified into two main groups: conceptual difficulties and procedural difficulties. Conceptual difficulties include misconceptions and obstacles related to understanding the fundamental principles and laws of electrochemistry, such as confusion between oxidation and reduction and between oxidants and reductants.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>,
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Procedural difficulties are related to the practical application of these concepts, such as difficulties in balancing redox reactions. It is very important to overcome both types of difficulties in order to achieve effective and lasting learning,
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>,
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> particularly in electrochemistry, where conceptual and procedural understanding are closely linked. To overcome the difficulties related to this content, some research has proposed approaches based on conducting experiments and practical work.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>,
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> The obvious benefit of hands-on work is tactile perception,
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> and the use of equipment and materials promotes the development of practical laboratory skills.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> However, the effectiveness of experiments and practical work on student comprehension and performance remains a subject of debate. Some research suggests that experiential learning does not lead to significant improvements in comprehension performance.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>,
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> Interaction with the material is based on technical and physical procedures, such as manipulation, following instructions, and taking measurements. Beyond interaction with the material, the educational objectives of experiential learning also include the adoption of various aspects of the scientific method, namely scientific observation, hypothesis formulation, and discussion of results.
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>,
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> However, numerous studies indicate that, in practice, the objectives of structured experiential learning tend to be overlooked due to the cognitive overload perceived by the learner. Other studies indicate that the variety of cognitive efforts involved in scientific experiments can lead students to focus more on technical and physical procedures than on theoretical understanding.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>,
                    <xref ref-type="bibr" rid="ref31">31</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup>
            </p>
            <p>Furthermore, like many other countries, the Moroccan education system has a notable deficit in practical science activities. This shortfall is mainly due to the lack of material and educational resources needed to carry out the experiments included in the school curricula, as well as the limited number of hours allocated to these programs and the inadequate training of teachers.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>,
                    <xref ref-type="bibr" rid="ref34">34</xref>,
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup> For years, to facilitate the teaching of abstract concepts such as those in electrochemistry, research in science education has recommended the use of digital approaches,
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup> such as animations.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>,
                    <xref ref-type="bibr" rid="ref17">17</xref>,
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup> Currently, recent research is expanding this vision by focusing on the potential of virtual laboratories,
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>,
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup> and the potential of artificial intelligence, such as technologies for integrating conversational AI into immersive virtual laboratories.
                <sup>
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup> The choice of experimental approach or AI-based approaches is directly linked to the financial resources mobilized by national education policy makers. In particular, the resources needed to acquire and maintain digital equipment and tools. In addition, approaches based on emerging technologies require the creation of appropriate digital spaces, such as virtual laboratories, connected classrooms, high-performance computers, and, in some cases, smart glasses,
                <sup>
                    <xref ref-type="bibr" rid="ref41">41</xref>
                </sup> biometric sensors,
                <sup>
                    <xref ref-type="bibr" rid="ref42">42</xref>
                </sup> virtual reality headsets for immersive experiences.
                <sup>
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup> Considering the economic challenges
                <sup>
                    <xref ref-type="bibr" rid="ref42">42</xref>,
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup> and issues related to the digital divide, teachers&#x2019; digital illiteracy, and resistance to change,
                <sup>
                    <xref ref-type="bibr" rid="ref44">44</xref>
                </sup> the optimal integration of artificial intelligence remains limited in several countries, particularly developing ones. And in some cases, even in developed countries, the effective integration of artificial intelligence remains limited. For example, a recent study on the effectiveness of virtual laboratories in Canada revealed several challenges related to the integration of artificial intelligence, including: the need to improve digital literacy skills, appropriate initial training, and the need for strong institutional support when integrating new educational tools.
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup> These various factors are among the reasons why manipulative digital environments are preferred. Therefore, to address the challenges related to the perceived usefulness and difficulty of assimilating electrochemical concepts, this exploratory research was initiated with the aim of optimizing learning through the use of a digital approach that can stimulate students&#x2019; interest and mitigate the difficulties that arise in learning electrochemistry. On the one hand, the research aims to examine the impact of adopting interactive simulation on learners&#x2019; situational and individual interest, and on the other hand, it aims to identify the obstacles encountered when learning about electrochemical cells by identifying the impact of simulation on the obstacles identified.</p>
        </sec>
        <sec id="sec2">
            <title>The theoretical framework</title>
            <sec id="sec3">
                <title>Interactive digital simulations</title>
                <p>Numerical simulations are computer programs based on simplified representations, which neglect or simplify certain details of a complex, real-life phenomenon or process.
                    <sup>
                        <xref ref-type="bibr" rid="ref45">45</xref>,
                        <xref ref-type="bibr" rid="ref46">46</xref>
                    </sup> These simplified models of reality represent a constructivist learning framework centred on the learner.
                    <sup>
                        <xref ref-type="bibr" rid="ref47">47</xref>
                    </sup> More clearly, a numerical simulation is a computer model of an authentic situation.
                    <sup>
                        <xref ref-type="bibr" rid="ref48">48</xref>
                    </sup> Numerous studies agree that the integration of digital simulations provides an interactive, dynamic, and intuitive learning environment. These simulations offer a safer environment compared to physical laboratory experiments, which can be risky, complex, and sometimes costly. Another advantage of using simulations is the time saved, as simulations do not require preparation sessions.
                    <sup>
                        <xref ref-type="bibr" rid="ref49">49</xref>,
                        <xref ref-type="bibr" rid="ref50">50</xref>
                    </sup> Simulations facilitate the visualization and understanding of abstract concepts and complex theoretical models,
                    <sup>
                        <xref ref-type="bibr" rid="ref51">51</xref>,
                        <xref ref-type="bibr" rid="ref52">52</xref>
                    </sup> such as the concept of chemical bonding
                    <sup>
                        <xref ref-type="bibr" rid="ref53">53</xref>
                    </sup> and the photoelectric effect.
                    <sup>
                        <xref ref-type="bibr" rid="ref54">54</xref>
                    </sup> In addition, they offer students the opportunity to experiment and explore the effects of changing certain input variables, such as volumes and concentrations. This exploration activates metacognitive regulation and reflection on the content studied.
                    <sup>
                        <xref ref-type="bibr" rid="ref54">54</xref>
                    </sup> These interactive environments give learners the ability to better understand microscopic phenomena that are difficult to visualize using traditional methods, such as blackboards, textbooks, or even real-life experiments. Indeed, according to some authors, these traditional methods are considered to be the source of relative difficulties in electrochemistry.
                    <sup>
                        <xref ref-type="bibr" rid="ref8">8</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec4">
                <title>Interactive simulations CK-12</title>
                <p>The CK-12 platform offers interactive simulations that are accessible free of charge. Each simulation is accompanied by a worksheet containing a key question and the corresponding educational objectives. The worksheet for the &#x201c;Electrochemical Cell&#x201d; simulation highlights the half-equations occurring at each electrode and the overall equation for the redox reaction. These worksheets provide guidance and structure for the activity. The simulation highlights the connection between the chemical phenomena of redox reactions and the observable effect on a large scale: the lighting of a lamp. This facilitates a clear understanding of the relationship between redox reactions and electricity, which is usually poorly understood at the secondary level. It is noted that, due to the microscopic transfer of redox reactions, these types of reactions are often abstract for students. This CK 12 simulation illustrates and dynamically represents the transfer of electrons between the electrodes of the electrochemical cell. Students can interact directly with the components of the experiment and modify the metals used in the two electrodes, the anode and cathode, to observe the effects. Furthermore, the educational objectives of the simulation used in this research are closely aligned with those of the theoretical course.</p>
            </sec>
            <sec id="sec5">
                <title>Situational interest</title>
                <p>In a solar context, interest stems from the interaction between the learner and the specific content. It refers to motivation triggered by the immediate situation of an activity. In order to assess the impact of interactive simulation, this research opts for situational interest, as it is more relevant to focus on situational interest, which is directly related to the classroom learning context. Unlike personal interest, which is often influenced by factors outside the school environment, such as socioeconomic conditions, family support, or students&#x2019; attitudes and previous experiences,
                    <sup>
                        <xref ref-type="bibr" rid="ref55">55</xref>
                    </sup> situational interest can be activated by targeted educational interventions, such as the use of engaging materials or interactive school activities.</p>
            </sec>
        </sec>
        <sec id="sec6">
            <title>Cadre pratique</title>
            <sec id="sec7">
                <title>Methodology</title>
                <p>This quasi-experimental research was based on a quantitative method with a random sample of 1,020 students in their final year of secondary education, comprising 48.4% female and 51.6% male, with an average age of 18.09 years. during the 2024-2025 school year. They participated in the study after providing their written informed consent, in addition to the written consent of the parents of any minor participants. A local committee affiliated with the Academy of Settat, Casablanca, Morocco, has provided its ethical approval for the research methodology under number 101/25. As part of the course Spontaneous Transformations in electrochemical cell and Energy Production, the CK-12 simulation of the electrochemical cell is integrated according to a planned educational scenario. It is adopted by the learners in the experimental group once they have familiarized themselves with the basic concepts of the course and are ready to move from theoretical abstraction to a dynamic conceptualization of the phenomenon. The quasi-experimental scenario followed in this research is as follows: After completing the same theoretical course, the research sample was divided into two groups: a control group continued learning through the traditional approach, using paper and pencil to do application exercises related to the knowledge covered in the course, and the experimental group attended the CK-12 digital simulation on the electrochemical cell. Both groups took the same pre-tests and post-tests, and in order to analyze the effect of the simulation on student performance, this study opted to compare the gains in test scores for both groups. In addition, a scale assessing situational and individual interest was administered before and after for both groups to evaluate the impact of the simulation on student interest. The data collected was then processed using IBM SPSS version 27 software.</p>
            </sec>
            <sec id="sec8">
                <title>Measuring instruments</title>
                <p>In order to assess the impact of adopting simulation on student motivation and interest, the study chose the IS2G situational and individual interest measurement scale for serious games developed by Chainon and al in 2014.
                    <sup>
                        <xref ref-type="bibr" rid="ref56">56</xref>
                    </sup> As its name suggests, this scale was designed to assess learners&#x2019; situational and individual interest in serious games. However, it is widely used for other types of digital activities in an educational context.
                    <sup>
                        <xref ref-type="bibr" rid="ref56">56</xref>
                    </sup> Its design is based on the theory of phased development of interest,
                    <sup>
                        <xref ref-type="bibr" rid="ref55">55</xref>
                    </sup> proposing that individual interest in a given subject develops through situational interest, which can be triggered by external intervention. The questionnaire used to measure situational interest is divided into two sections. The first part focuses on the respondents&#x2019; sociodemographic data, and the second part presents a scale for measuring situational interest. It consists of 12 items divided into three distinct dimensions. The first dimension, individual interest, includes items 01, 03, 07, and 09. The second dimension, activated situational interest, includes items 04, 06, 08, and 11. Finally, the third dimension, maintained situational interest, is assessed through items 02, 05, 10, and 12. The 12 items are examined on a seven-point Likert scale, ranging from 1 (strongly disagree) to 7 (strongly agree).</p>
            </sec>
            <sec id="sec9">
                <title>Description of tests</title>
                <p>The test items are developed in line with the educational objectives of the course, which are clearly stated in the 2007 educational guidelines for physics and chemistry in Moroccan high schools. These anonymous tests focus on conceptual and procedural understanding related to the lecture, and for all items, the option &#x201c;
                    <italic toggle="yes">I don&#x2019;t know</italic>&#x201d; is provided so as not to induce respondents to give random answers.</p>
            </sec>
        </sec>
        <sec id="sec10" sec-type="results|discussion">
            <title>Results and discussion</title>
            <p>In order to examine the impact of using simulation on interest, a measure of situational interest was carried out before and after for both groups of students. Based on a comparison of the mean situational interest scores before and after in both groups, the results of the mixed ANOVA analysis show a significant interaction between time and group of F(1) = 27.11 p &#x2264; 0.001 and &#x03b7;
                <sup>2</sup>p = 0.026. The 
                <xref ref-type="table" rid="T1">Table 1</xref> shows the descriptive statistics of mean situational interest before and after for both groups.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>
Table 1. </label>
                <caption>
                    <title>Shows the descriptive statistics of mean situational interest before and after for both groups.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">Group</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Average</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Standard deviation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
N</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">Average of interest before</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Test</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35,7039</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7,89124</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">510</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35,7804</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8,01465</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">510</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35,7422</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7,94937</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1020</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">Average of interest after</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Test</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39,7137</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6,94579</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">510</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36,6196</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6,65959</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">510</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38,1667</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6,97477</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1020</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>This suggests that the change in situational interest before and after differs depending on the group, and more specifically, the use of simulation led to a notable change for the group that benefited from it.</p>
            <p>Furthermore, based on the variation in the means of each sub-dimension before and after, the results of the mixed ANOVA analysis for the mean of each situational dimension of interest indicate that the ISA dimension is the dimension most influenced by learning with interactive simulation compared to the other two dimensions of interest, ISM and II, as the results indicate a significant interaction between time and group for the ISA dimension of F(1) = 48.92, p 
                <inline-formula>

                    <mml:math display="inline">
                        <mml:mo>&#x2264;</mml:mo>
                    </mml:math>
</inline-formula> .001 and &#x03b7;
                <sup>2</sup>p = 0.046. 
                <xref ref-type="table" rid="T2">
Table 2</xref> shows in detail the statistical results of the three dimensions of interest before and after the respective activities.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>
Table 2. </label>
                <caption>
                    <title>Illustrates the descriptive statistics of 3 dimensions of situational interest before and after the respective activities.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Dimension of interest before the respective activity</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Group</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Average</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Standard deviation</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Dimension of interest after the respective activity</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Average</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Standard deviation</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">Activated Situational Interest</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Test</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12,0216</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,70121</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">Activated Situational Interest</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14,4608</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,81413</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12,0824</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,70592</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12,2765</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,37040</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12,0520</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,70187</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13,3686</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,75963</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">Maintained Situational Interest</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Test</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11,8490</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,87003</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">Maintained Situational Interest</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12,9824</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,67459</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11,8824</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,85619</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12,2471</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,85108</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11,8657</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,86126</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12,6147</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,77996</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">Individual Interest</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Test</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11,8333</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4,18596</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">Individual Interest</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12,2706</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,51831</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11,8157</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4,19389</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12,0961</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,92471</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11,8245</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4,18788</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12,1833</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,72625</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>This finding reinforces theoretical models according to which the ISA dimension is generally the most influenced by stimulating factors and constitutes the gateway to the development of interest.
                <sup>
                    <xref ref-type="bibr" rid="ref55">55</xref>,
                    <xref ref-type="bibr" rid="ref57">57</xref>
                </sup> The results found are also consistent with numerous related studies that focus on the positive impact of interactive simulations on learners&#x2019; interest in chemistry.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>,
                    <xref ref-type="bibr" rid="ref58">58</xref>
                </sup>
            </p>
            <sec id="sec11">
                <title>Test response analysis</title>
                <p>To ensure the reliability of the results and minimize preliminary disparities between students and contextual variables, such as their prerequisites, the study relies on gains, which represent the difference between pre-test and post-test scores. This allows us to identify the impact of the simulation on student performance. Initially, a comparison of the average gains of the two groups shows that the average gain was significantly higher in the experimental group (M = 0.0370, &#x03b1; = 0.22170) than in the control group (M = 0.0008, &#x03b1; = 0.21482), which is statistically significant, with the t-test indicating a significant difference, t (1018) = 2.643, p = 0.008. 
                    <xref ref-type="table" rid="T3">
Table 3</xref> presents the results of the independent samples t-test.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Results of the t-test for the mean scores.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Groupe</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Average</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Standard deviation</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">N</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Test t</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">df</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
p-value
</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">Overall gain</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Experimental</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.0370</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.22170</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">510</td>
                                <td align="left" colspan="1" rowspan="2" valign="top">2.643</td>
                                <td align="left" colspan="1" rowspan="2" valign="top">1018</td>
                                <td align="left" colspan="1" rowspan="2" valign="top">0.008</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.0008</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.21482</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">510</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>This demonstrates a significant effect of learning that adopts interactive simulation. Secondly, attention should be paid to incorrect answers that persist in the post-test for the entire sample. Identifying persistent errors makes it possible to identify certain existing learning obstacles. Below is an analysis of the post-test items accompanied by a discussion of the obstacles identified.</p>
                <p>The first item is based on the distinction between a battery and a cell. Analysis of the post-test responses for both groups shows confusion between batteries and cells, with 31.1% opting for the distractor: There is no real difference between a battery and a cell; it is a question of size. They believe that the electrochemical cell stores electricity, but in reality, the electrochemical cell is an autonomous source of electricity; it produces electricity from spontaneous chemical reactions without storing it, while 20 % show another misunderstanding by stating that: The electrochemical cell only works when it is connected to a power source, whereas the battery is capable of storing electrical energy. These results reflect an erroneous mental model of the electrochemical cell, where students are influenced by everyday language: the connection of devices, imagining that the cell contains a reservoir that must be powered by an electrical source in order to function, while excluding the link with chemistry and redox reactions. According to a mini review on the difficulties of learning electrochemistry,
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup> this type of representation is fuelled by the contextual language barrier, given that the meaning in everyday language differs from that in the scientific context.</p>
                <p>The second item focuses on the ability to write a global equation based on two redox couples. the results highlight difficulties related to balancing redox equations, such as 67.3% of respondents opting for unbalanced equations, due to the incorrect method used for balancing, where respondents added electrons to the overall equation to balance the electrical charges, as in the case of choice: 
                    <italic toggle="yes">Zn
                        <sub>(s)</sub> + Ag
                        <sup>+</sup>
                        <sub>(aq)</sub> &#x2192; Zn
                        <sup>2+</sup>
                        <sub>(aq)</sub> + Ag
                        <sub>(s)</sub> + 1e
                        <sup>-</sup>
                    </italic>, also the choice of: 
                    <italic toggle="yes">Zn
                        <sub>(s)</sub> + 2Ag
                        <sup>+</sup>
                        <sub>(aq)</sub> &#x2192; Zn
                        <sup>2+</sup>
                        <sub>(aq)</sub> + Ag</italic>
                    <sub>

                        <italic toggle="yes">(s</italic>)</sub>, This shows an incomplete understanding of the law of conservation of matter, where respondents forgot to add the stoichiometric coefficients, and 12.5 % of respondents chose the option: 
                    <italic toggle="yes">I don&#x2019;t know.</italic> In fact, balancing redox reactions is a procedural difficulty frequently encountered by students.
                    <sup>
                        <xref ref-type="bibr" rid="ref20">20</xref>
                    </sup>
                </p>
                <p>The third item concerns the direction of electrons outside the generator in an electrical circuit. The results show that 27.8% state that: 
                    <italic toggle="yes">Electrons flow from the positive terminal to the negative terminal, in the opposite direction to the current outside the generator</italic>, and 28.7% opt for the distractor: 
                    <italic toggle="yes">Electrons flow from the positive terminal to the negative terminal, with the direction of current outside the generator.</italic> These results show that some students confused the conventional direction of current (from the positive pole to the negative pole) with that of electrons (from negative to positive), or had difficulty remembering that the conventional direction of current is opposite to the actual movement of electrons. These misunderstandings are not accidental; the source of this confusion is the disparity between the convention of current direction, historically established before the discovery of electrons, and the actual movement of electrons in electrical conductors.</p>
                <p>The fourth item concerns the direction of electron flow between the two terminals of the electrochemical cell. During the lecture, students learned that: when the electrochemical cell is operating, electrons are produced during the oxidation process in the negative terminal, called the anode, and are then consumed during the reduction process in the positive terminal, called the cathode, thus circulating in the external circuit. The students (30.2%) who chose the statement: 
                    <italic toggle="yes">Electrons move from the positive terminal, where they are consumed by reduction (this terminal is called the cathode), to the negative terminal, where they are produced by oxidation (this terminal is called the anode)</italic>, misunderstand the direction of electron movement between the positive and negative poles of a generator, which is a basic concept in middle school electricity courses. This choice highlights confusion between the direction of conventional current and that of electrons. This recalls the misconception previously discussed in item 3, according to which electrons move from the positive terminal to the negative terminal outside a generator, meaning that this misunderstanding is transposed from a simple electrical circuit to an electrochemical cell. In reality, any representation or misunderstanding that is not explicitly corrected by teachers will affect subsequent learning,
                    <sup>
                        <xref ref-type="bibr" rid="ref12">12</xref>
                    </sup> as for the others (36.4%) who opted for the distractor: 
                    <italic toggle="yes">Electrons move from the negative terminal, where they are produced by oxidation, called the cathode, to the positive terminal, where they are consumed by reduction, called the anode</italic>, they show confusion between the anode and cathode, which indicates a partial understanding. These results are similar to those obtained in several studies on barriers to learning electrochemistry.
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>,
                        <xref ref-type="bibr" rid="ref59">59</xref>
                    </sup>
                </p>
                <p>The fifth item concerns the polarity of the electrochemical cell. Analysis of the responses shows that students have poorly understood the idea that the anode is the negative terminal and the cathode is the positive terminal. The two distractors are chosen by 64% of respondents, 
                    <italic toggle="yes">who claim that the cathode is the negative terminal because it receives electrons</italic>, or 
                    <italic toggle="yes">that the anode has a positive charge because it attracts electrons.</italic> This misconception is often cited in research on alternative conceptions in electrochemistry. It has been validated by various experimental studies conducted with students in their final year of secondary school in Australia,
                    <sup>
                        <xref ref-type="bibr" rid="ref60">60</xref>
                    </sup> Germany,
                    <sup>
                        <xref ref-type="bibr" rid="ref12">12</xref>
                    </sup> and even with first-year university students in the United States.
                    <sup>
                        <xref ref-type="bibr" rid="ref37">37</xref>
                    </sup> Indeed, confusion between the cathode and the anode or between the positive and negative terminals completely affects the understanding of how galvanic electrochemical cell and electrolytic cells work, which is why this type of misunderstanding is one of the main obstacles to the assimilation of electrochemistry.
                    <sup>
                        <xref ref-type="bibr" rid="ref59">59</xref>
                    </sup>
                </p>
                <p>The sixth item concerns the physical aspect of the device essential for maintaining electrical neutrality in electrochemical cell. The analysis shows that 52.2% of respondents opted for the two distractors implying that electrical neutrality is necessarily linked to the presence of a salt bridge. The lecture always begins with the Daniell cell, which provides a simplified educational model for understanding how electrochemical cells work, describing the device, how it works, and the associated quantitative study. In the Daniell cell, electrical neutrality is ensured by a U-shaped salt bridge made of an ionic substance. As for the alkaline cell most commonly used in everyday life, a solid, porous separator (electrolyte paste) integrated into the electrolyte ensures electrical neutrality. Although it does not take the form of a conventional salt bridge, it performs the same function. This indicates that learners tend to reinforce and retain the knowledge assimilated at the beginning of the lesson. This poor assimilation is explained by the primacy effect, psychological education has shown that in the first stage, learners are more attentive and engaged, retain information without cognitive fatigue, and store what they learn in their long-term memory.
                    <sup>
                        <xref ref-type="bibr" rid="ref61">61</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref63">63</xref>
                    </sup>
                </p>
                <p>The seventh item concerns the difference between the mechanisms of electrical neutrality in electrochemical cell. The analysis shows that 62.6% of respondents opted for the two distractors implying that electrical neutrality is ensured by the passage of all charge carriers: cations, anions, and electrons via the salt bridge. These errors are not random; they reflect a flawed mental model according to which the salt bridge ensures the movement of all electric charge carriers, including electrons. In reality, the salt bridge only ensures the transfer of ions, electrons move through the external metal circuit. Indeed, the passage of electrons through the salt bridge or through solutions in general is a common misconception among high school seniors. This erroneous model is widespread and appears in many studies,
                    <sup>
                        <xref ref-type="bibr" rid="ref8">8</xref>,
                        <xref ref-type="bibr" rid="ref9">9</xref>,
                        <xref ref-type="bibr" rid="ref12">12</xref>,
                        <xref ref-type="bibr" rid="ref14">14</xref>,
                        <xref ref-type="bibr" rid="ref37">37</xref>,
                        <xref ref-type="bibr" rid="ref59">59</xref>,
                        <xref ref-type="bibr" rid="ref60">60</xref>,
                        <xref ref-type="bibr" rid="ref64">64</xref>
                    </sup> Some studies consider that this representation is reinforced by textbooks,
                    <sup>
                        <xref ref-type="bibr" rid="ref37">37</xref>
                    </sup> as the origin of this misunderstanding lies in the use of scientifically imprecise language that associates electric current with the flow of electrons without specifying the medium, leading students to believe that electrons are the carriers of electric charges even in solutions.
                    <sup>
                        <xref ref-type="bibr" rid="ref65">65</xref>
                    </sup>
                </p>
                <p>Thirdly, a comparison of the number of incorrect answers in the experimental group in the post-test with those in the control group shows that the simulation led to a considerable reduction in incorrect answers. 
                    <xref ref-type="table" rid="T4">
Table 4</xref> illustrates the difference between the percentage of incorrect answers in the control group and that in the experimental group for each item in the post-test.</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>Percentages of incorrect responses for the control group and experimental group for each item.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Items</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Percentage of incorrect answers in the control group</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Percentage of incorrect answers in the test group</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
The difference between the two percentages</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>1</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.4901</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.1960</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.2941</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>2</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.1960</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.5098</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0. 6862</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>3</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.941</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.4509</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.4901</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>4</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">41.274</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.4117</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.8623</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>5</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.6078</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.3137</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.2941</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>6</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31,666</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.9803</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.6863</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>7</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36,2745</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.9215</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.3529</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>Item analysis showed a decrease in the percentage of incorrect answers in the experimental group, indicating an improvement in the assimilation of knowledge related to the lecture, corresponding to items 1 and 2. A more significant decrease in errors was also observed in the remaining items in favor of the experimental group, indicating that the simulation effectively addressed conceptual and procedural difficulties and representations, including: confusion between the direction of current flow and that of electrons, confusion between the anode and cathode, electrical neutrality is necessarily ensured by the salt bridge, and the flow of electrons in the salt bridge. These results confirm the positive contribution of the simulation in reducing misconceptions, particularly those related to visually interpretable knowledge.</p>
                <p>The functioning of the electrochemical cell is taught visually in the form of animated content with a voiceover describing the process of electrical energy production. The results support certain hypotheses of dual coding theory
                    <sup>
                        <xref ref-type="bibr" rid="ref66">66</xref>
                    </sup> and multimodal learning theory (2005),
                    <sup>
                        <xref ref-type="bibr" rid="ref67">67</xref>
                    </sup> which assume that learners are more engaged and memorize knowledge more effectively when information is processed through visual and verbal channels simultaneously. The results also agree with the conclusions of numerous related studies, which consider simulation to have a positive impact on concept comprehension
                    <sup>
                        <xref ref-type="bibr" rid="ref68">68</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref70">70</xref>
                    </sup> and memorization.
                    <sup>
                        <xref ref-type="bibr" rid="ref58">58</xref>
                    </sup> These convergences reinforce the credibility of the results revealed in this quasi-experimental research, which has provided new experimental confirmation in a different context.</p>
            </sec>
        </sec>
        <sec id="sec12" sec-type="conclusions">
            <title>Conclusions</title>
            <p>This quasi-experimental study examines the impact of adopting the CK 12 electrochemical cell simulation on situational and individual interest and on the performance of students in their final year of secondary school. Initially, the results of the mixed ANOVA analysis show a significantly greater increase in situational and individual interest in the experimental group compared to the control group. It also shows that the ISA dimension is the dimension most influenced by learning with interactive simulation compared to other dimensions of situational interest. Based on a comparison of gains between the pre-test and post-test of the two groups, a significant attenuation of representations was demonstrated in the experimental group. Analysis of the incorrect responses that persist in the post-test across the entire sample identifies some typical representations that hinder understanding of electrochemistry. It is important to note that the representations identified in this study result from a combination of: everyday language, partial understanding, and uncontrolled primacy, which complicates the acquisition of further knowledge. It is essential to constantly identify learning obstacles and their origins in order to reorient teaching practices toward correcting typical misconceptions and clarifying erroneous mental models throughout the learning process. In this sense, the planning, management, and evaluation of learning must focus on the origins of learning obstacles. In other words, relying solely on simulation as a teaching approach does not guarantee the complete elimination of students&#x2019; misconceptions and mental models.</p>
            <p>In conclusion, the use of interactive digital simulations is recommended to enrich teaching, emphasizing that thanks to the visual and interactive aspects of the content, simulations promote long-term memorization by providing a visual anchor for knowledge and making learning more interesting. It is also a promising approach to mitigating the difficulties of learning electrochemistry and any other scientific discipline.</p>
        </sec>
        <sec id="sec13">
            <title>Ethics and consent</title>
            <p>A local committee affiliated with the Academy of Settat, Casablanca, Morocco, has provided its ethical approval for the research methodology under number 101/25. They participated in the study after providing their written informed consent, in addition to the written consent of the parents of any minor participants.</p>
        </sec>
        <sec id="sec14">
            <title>Ethics statement</title>
            <p>This study was approved in collaboration with secondary education institutions and informed consent was obtained from each participant, ensuring anonymity and confidentiality of the data.</p>
        </sec>
    </body>
    <back>
        <sec id="sec17" sec-type="data-availability">
            <title>Data availability</title>
            <p>The data supporting the conclusions of this study are available in a public online repository at the following address: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.30257077.v1">https://doi.org/10.6084/m9.figshare.30257077.v1</ext-link>
                <sup>
                    <xref ref-type="bibr" rid="ref71">71</xref>
                </sup>
            </p>
            <p>S. Boukhari, M. Sadiq, M. Radid, et G. Chemsi, &#x00ab; The impact of numerical simulation on concepts related to electrochemistry and on situational interest among high school students in their final year &#x00bb;, Figshare, 2025, 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.30257077.v1">doi.org/10.6084/m9.figshare.30257077.v1</ext-link>
            </p>
            <p>This data is freely accessible and can be used in accordance with the terms of the associated license in the repository.</p>
            <p>This project contains the following underlying data:
                <list list-type="bullet">
                    <list-item>
                        <label>&#x2022;</label>
                        <p>01 - The performance test and The IS2G measurement scale used to assess situational and individual interest</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>02 - SPSS file containing the performance test data</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>03 - SPSS file containing the performance test results</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>04 - SPSS file containing the data for measuring situational and individual interest</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>05 - SPSS file containing the results of the situational and individual interest measurement</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>06 - Parental consent form</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>07- Informed consent form for participating students</p>
                    </list-item>
                </list>
            </p>
            <p>The data is available under the 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</ext-link>.</p>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>The authors have no thanks to give.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report461255">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.188400.r461255</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mardiah</surname>
                        <given-names>Alin</given-names>
                    </name>
                    <xref ref-type="aff" rid="r461255a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4668-6186</uri>
                </contrib>
                <aff id="r461255a1">
                    <label>1</label>Universitas Negeri Jakarta, East Jakarta, Special Capital Region of Jakarta, Indonesia</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>20</day>
                <month>3</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Mardiah A</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="relatedArticleReport461255" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.170888.1"/>
            <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 manuscript presents a quasi-experimental study examining the impact of interactive numerical simulations (CK-12 platform) on high school students&#x2019; understanding of electrochemistry and their situational interest. The study involves a large sample (N = 1,020), divided into experimental and control groups, using a pre-test/post-test design.</p>
            <p> The findings indicate that students exposed to simulation-based instruction demonstrate statistically significant improvements in academic performance and situational interest compared to those receiving traditional instruction. Additionally, the study reports a reduction in common misconceptions related to electrochemical concepts.</p>
            <p> The topic is timely and relevant, particularly in the context of increasing integration of digital tools in science education. The manuscript contributes to the growing body of literature on simulation-based learning and its pedagogical value.</p>
            <p> </p>
            <p> 
                <bold>Major Comments</bold>
            </p>
            <p> </p>
            <p> 1. 
                <bold>Study Design and Internal Validity</bold>
            </p>
            <p> The use of a quasi-experimental design with a control group is appropriate; however, there are&#x00a0;critical ambiguities regarding group allocation. 
                <list list-type="bullet">
                    <list-item>
                        <p>The manuscript does not clearly state whether participants were randomly assigned.</p>
                    </list-item>
                    <list-item>
                        <p>No&#x00a0;baseline equivalence analysis&#x00a0;(e.g., comparison of pre-test scores between groups) is presented.</p>
                    </list-item>
                </list> This raises concerns about&#x00a0;selection bias&#x00a0;and limits the strength of causal claims.</p>
            <p> 
                <bold>Recommendation:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Explicitly describe the allocation procedure (random, cluster, or convenience).</p>
                    </list-item>
                    <list-item>
                        <p>Provide statistical evidence of baseline equivalence between groups.</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>2. Insufficient Description of the Intervention</bold>
            </p>
            <p> The study refers to the use of a CK-12 electrochemical simulation, but&#x00a0;key implementation details are missing, including: 
                <list list-type="bullet">
                    <list-item>
                        <p>Duration and frequency of the intervention</p>
                    </list-item>
                    <list-item>
                        <p>Nature of student interaction (guided vs. exploratory)</p>
                    </list-item>
                    <list-item>
                        <p>Teacher role and instructional scaffolding</p>
                    </list-item>
                    <list-item>
                        <p>Fidelity of implementation across groups</p>
                    </list-item>
                </list> Without these details, the study is&#x00a0;not fully replicable.</p>
            <p> 
                <bold>Recommendation:</bold>
            </p>
            <p> Provide a detailed description of: 
                <list list-type="bullet">
                    <list-item>
                        <p>Instructional design and learning sequence</p>
                    </list-item>
                    <list-item>
                        <p>Simulation activities and tasks</p>
                    </list-item>
                    <list-item>
                        <p>Time-on-task and classroom conditions</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>3. Measurement Validity and Reliability</bold>
            </p>
            <p> The manuscript employs the IS2G scale and researcher-developed tests, but: 
                <list list-type="bullet">
                    <list-item>
                        <p>No&#x00a0;reliability indices&#x00a0;(e.g., Cronbach&#x2019;s alpha) are reported</p>
                    </list-item>
                    <list-item>
                        <p>No&#x00a0;validity evidence&#x00a0;is provided</p>
                    </list-item>
                    <list-item>
                        <p>No justification is given for adapting IS2G to this specific context</p>
                    </list-item>
                </list> This weakens confidence in the measurement instruments.</p>
            <p> 
                <bold>Recommendation:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Report reliability coefficients for all scales</p>
                    </list-item>
                    <list-item>
                        <p>Provide evidence of construct/content validity</p>
                    </list-item>
                    <list-item>
                        <p>Clarify whether instruments were piloted or validated in similar contexts</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>4. Statistical Reporting and Interpretation</bold>
            </p>
            <p> The statistical analyses (t-test and mixed ANOVA) are generally appropriate; however, reporting is incomplete: 
                <list list-type="bullet">
                    <list-item>
                        <p>Confidence intervals are not provided</p>
                    </list-item>
                    <list-item>
                        <p>Effect sizes are reported but not interpreted</p>
                    </list-item>
                    <list-item>
                        <p>Assumptions (normality, homogeneity) are not discussed</p>
                    </list-item>
                </list> Additionally, the reporting of degrees of freedom in some analyses is unclear.</p>
            <p> 
                <bold>Recommendation:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Include confidence intervals and interpret effect sizes</p>
                    </list-item>
                    <list-item>
                        <p>Report assumption testing procedures</p>
                    </list-item>
                    <list-item>
                        <p>Provide complete statistical outputs (e.g., ANOVA tables)</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>5. Interpretation of Results and Causal Claims</bold>
            </p>
            <p> The manuscript occasionally&#x00a0;overstates causal conclusions, despite the quasi-experimental design.</p>
            <p> For example: 
                <list list-type="bullet">
                    <list-item>
                        <p>The use of simulation is presented as definitively improving learning outcomes</p>
                    </list-item>
                    <list-item>
                        <p>Generalizations are made beyond the specific context (electrochemistry)</p>
                    </list-item>
                </list> Moreover, there is a&#x00a0;conceptual inconsistency: 
                <list list-type="bullet">
                    <list-item>
                        <p>The authors acknowledge that simulations do not eliminate misconceptions entirely</p>
                    </list-item>
                    <list-item>
                        <p>Yet, conclusions strongly promote simulations as a comprehensive solution</p>
                    </list-item>
                </list> 
                <bold>Recommendation:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Use more cautious language (e.g., &#x201c;associated with improvements&#x201d;)</p>
                    </list-item>
                    <list-item>
                        <p>Avoid overgeneralization beyond the study context</p>
                    </list-item>
                    <list-item>
                        <p>Explicitly acknowledge limitations</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>6. Consideration of Confounding Variables</bold>
            </p>
            <p> The manuscript does not sufficiently address potential confounders such as: 
                <list list-type="bullet">
                    <list-item>
                        <p>Teacher differences</p>
                    </list-item>
                    <list-item>
                        <p>School context</p>
                    </list-item>
                    <list-item>
                        <p>Prior student achievement</p>
                    </list-item>
                    <list-item>
                        <p>Classroom environment</p>
                    </list-item>
                </list> These factors may influence outcomes independently of the intervention.</p>
            <p> 
                <bold>Recommendation:</bold>
            </p>
            <p> Discuss potential confounding variables and how they may have affected the results.</p>
            <p> </p>
            <p> 
                <bold>Minor Comments</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>The introduction is comprehensive but could benefit from&#x00a0;greater synthesis of literature&#x00a0;rather than descriptive listing.</p>
                    </list-item>
                    <list-item>
                        <p>Some terminology (e.g., &#x201c;ISA dimension&#x201d;) is not clearly defined when first introduced.</p>
                    </list-item>
                    <list-item>
                        <p>Tables (e.g., Table 2 and Table 3) are informative but would benefit from clearer labeling and interpretation within the text.</p>
                    </list-item>
                    <list-item>
                        <p>Language is generally clear, though minor grammatical refinements would improve readability.</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>Data Availability</bold>
            </p>
            <p> The authors provide&#x00a0;open access to all underlying data via Figshare, including SPSS files and measurement instruments.&#x00a0;</p>
            <p> This is a significant strength and supports&#x00a0;transparency and reproducibility.</p>
            <p> </p>
            <p> 
                <bold>Conclusions</bold>
            </p>
            <p> The conclusions are&#x00a0;partially supported by the data, but require refinement: 
                <list list-type="bullet">
                    <list-item>
                        <p>Claims of effectiveness are supported by statistical results</p>
                    </list-item>
                    <list-item>
                        <p>However, causal interpretations should be moderated due to design limitations</p>
                    </list-item>
                    <list-item>
                        <p>Generalizations beyond the study scope should be avoided</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</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>Transformative learning</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-type="response" id="comment15899-461255">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>boukhari</surname>
                            <given-names>safa</given-names>
                        </name>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>Aucun conflit d'int&#x00e9;r&#x00ea;ts n'a &#x00e9;t&#x00e9; d&#x00e9;clar&#x00e9;.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>6</day>
                    <month>4</month>
                    <year>2026</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Thank you for your valuable comments, which will undoubtedly enhance the article. Below are some clarifications regarding your remarks 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <bold>Study design and internal validity:</bold>
                            </p>
                        </list-item>
                    </list> To analyze the effect of the simulation on student performance, two groups took the same pre-tests and post-tests. Since participants were randomly assigned to groups, the study relies on gains, which represent the difference between pre-test and post-test scores, which ensures the reliability of the results and avoids any potential disparities among students, particularly regarding their prior knowledge. Analyzing gains allows us to identify the impact of the simulation on student performance without any concerns regarding selection bias.</p>
                <p> </p>
                <p> 
                    <bold>&#x00a0; &#x00a0; &#x00a0; 2.&#x00a0; Description of the Intervention: A Reproducible Protocol</bold>
                </p>
                <p> To ensure the internal validity of the study: both the experimental and control groups followed the same theoretical content on redox reactions; the duration, objectives, and teaching conditions were equivalent; and the only manipulated variable was the use of the CK-12 simulation. Therefore, the intervention was implemented for the benefit of the learners in the experimental group once they had become familiar with the basic concepts in the theoretical course titled: Spontaneous Transformations in Batteries and Energy Production.</p>
                <p> A- The intervention took place over a one-week period, consisting of 2 sessions; the time actually spent on the simulation was approximately 20 minutes per session. It was conducted in a computer lab where students worked in small groups of 3 to 4 learners.</p>
                <p> B- The nature of the interaction among students was mixed: an initial guided phase in which students followed structured instructions with guided questions to address, followed by a phase of independent exploration in which they freely manipulated the simulation&#x2014;for example, observing electron flow and modifying parameters (type of electrodes and solutions). this protocol is part of a constructivist approach in which students construct their own knowledge.</p>
                <p> C- Teacher&#x2019;s role and instructional support: The teacher acted as a facilitator and educational mediator: initial presentation of the objectives and the simulation, guiding students during the activity (asking guiding questions, clarifying concepts), and a final summary to consolidate their understanding.</p>
                <p> Note that the interactive &#x201c;Electrochemical Cell&#x201d; simulation is available for free on the CK-12 platform, accompanied by a worksheet containing structured written instructions and guiding questions (to be facilitated by the teacher). This worksheet includes the key question, the corresponding learning objectives, the half-reactions occurring at each electrode, the overall equation for the redox reaction, as well as relevant supplementary information, such as connections to real-world phenomena&#x2026; This worksheet enables the activity to be conducted in a guided, structured, and reproducible manner.</p>
                <p> </p>
                <p> 
                    <bold>&#x00a0; &#x00a0; &#x00a0;3 .Validate and fit the measures:</bold>
                </p>
                <p> The manual uses a performance test developed by the authors. It is noted in the manual (in the section: Measured instruments) that the test items were produced in preparation with the objects of the teaching courses, which were located in the documents in the educational chemistry 2007 in the Physics Institute in Morocco. 1, the test is accessible online 
                    <underline>doi.org/10.6084/m9.figshare.30257077.v1</underline>
                </p>
                <p> To improve the internal situation and individual choices for the serious IS2G games produced by Chainon and others in 2014, the developers of IS2G affirmed that this was the case. It is intended to evaluate the internal situation and individual applications for serious games and all educational activities. The IS2G is widely used for various types of digital activities in an educational context (Chainon, Fenouillet and Heutte, 2014). This model is transversal, applicable to all application situations and does not include any other devices. Don't worry, the child may be transferred to other digital devices (simulation, MOOC, platform, etc.), which often translates to &#x201c;simulation&#x201d; or &#x201c;platform.&#x201d;</p>
                <p> The authors provided the coefficients for the different dimensions of situational interest: for Individual Interest II: Cronbach's alpha &#x03b1; &#x2248; 0.86&#x2013;0.90, for Situational Interest Activated (ISA): Cronbach's alpha &#x03b1; &#x2248; 0.85&#x2013;0.88, and for Situational Interest Maintained (ISM): Cronbach's alpha &#x03b1; &#x2248; 0.88&#x2013;0.92. All alphas are &gt; 0.80, which means that the scale has good internal consistency and is reliable for research.</p>
                <p> </p>
                <p> &#x00a0; &#x00a0; 4.&#x00a0;
                    <bold>Presentation and interpretation of statistical analyses (t-test and mixed ANOVA):</bold>
                </p>
                <p> The authors neglected to present and interpret all the statistical results.</p>
                <p> An independent samples t-test was performed to compare the overall gain between the two groups. Levene's test indicates that the assumption of homogeneity of variances is met (F = 0.735; p = 0.391 &gt; 0.05). Therefore, the results corresponding to the assumption of equal variances were retained.</p>
                <p> The t-test results show a significant difference between the groups, t(1018) = 2.64, p = 0.008.</p>
                <p> The mean difference observed is 0.036 (SD = 0.0137), with a 95% confidence interval between [0.009; 0.063]. This interval, which does not contain 0, confirms the significance of the difference. The observed effect is small (d = 0.2).</p>
                <p> A mixed ANOVA (repeated measures of time and between-subjects group) was performed to examine the effect of the intervention on situational and individual interest. Multivariate results, based on Pillai's trace, show a significant effect of time:</p>
                <p> F(1, 1018) = 63.42, p &lt; 0.001, &#x03b7;&#x00b2;p = 0.059. This can be interpreted as a significant change in interest scores in the pre-test and post-test, independent of group.</p>
                <p> The results also show a significant interaction effect between time and group: F(1, 1018) = 27.11, p &lt; 0.001, &#x03b7;&#x00b2;p = 0.026. This can be interpreted as a change in interest scores over time that differs significantly between the groups, suggesting an effect of the intervention. Tables containing statistical results can be added.</p>
                <p> </p>
                <p> 
                    <bold>&#x00a0; &#x00a0; &#x00a0;5. Use of more concise language:</bold>
                </p>
                <p> The impact of the intervention on performance should be addressed as follows:</p>
                <p> A comparison of gains between the pre-tests and post-tests in the two groups shows that the use of simulation is associated with significant improvements in learning redox concepts (t(1018) = 2.643, p = 0.008). The persistence of incorrect responses in the post-test in the experimental group indicates that the use of simulation does not completely eliminate all common misconceptions. Analysis of the post-test items revealed an even greater decrease in the percentage of incorrect responses in the experimental group. These results lead to the conclusion that the intervention mitigated misconceptions in the experimental group but does not provide a comprehensive solution. Therefore, the planning, management, and evaluation of learning should focus on addressing the root causes of misconceptions. In other words, relying solely on simulation does not guarantee the complete elimination of misconceptions and deeply ingrained mental models in learners.</p>
                <p> </p>
                <p> 
                    <bold>&#x00a0; &#x00a0; 6.&#x00a0; Addressing Confounding Factors:</bold>
                </p>
                <p> Confounding factors can be addressed within the scope of this research as follows:</p>
                <p> While the results of this study suggest a positive effect of using the CK-12 electrochemical simulation on student comprehension, it is important to recognize that several potential confounding factors could have influenced these results. Among these, differences among teachers, in terms of teaching style and experience, can modulate the effectiveness of the intervention independently of the simulation. Furthermore, the school context, including class size, available resources, and type of institution, as well as students' prior achievement level in chemistry or mathematics, can also play a significant role. The physical environment of the classroom, such as ambient noise or the availability of computer equipment, is another factor that can affect student engagement and concentration. Although the study sought to standardize the intervention through identical instructions and objectives, these confounding variables could explain some of the observed variance. Therefore, future research would recommend measuring and controlling these factors in order to more precisely isolate the effect of simulation on learning.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report458002">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.188400.r458002</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Chukwunazo</surname>
                        <given-names>Obikezie Maxwell</given-names>
                    </name>
                    <xref ref-type="aff" rid="r458002a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r458002a1">
                    <label>1</label>Nnamdi Azikiwe University, Awka, Anambra, Nigeria</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>26</day>
                <month>2</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Chukwunazo OM</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="relatedArticleReport458002" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.170888.1"/>
            <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>Abstract</p>
            <p> The study investigates whether teaching electrochemistry concepts through numerical simulation enhances students&#x2019; situational interest and academic performance. It involved 1,020 secondary-school students, divided into an experimental group (simulation-based instruction) and a control group, employing a pre-test/post-test design to assess changes over time. Key results indicate the experimental group achieved a statistically significant improvement in mean post-test scores relative to the control group (t(1018) = 2.643, p = 0.008), and demonstrated a reduction in misconceptions, as evidenced by fewer incorrect answers. The Situational Interest (IS2G) measure revealed a significant time-by-group interaction (F(1, unknown df) = 27.11, p &#x2264; 0.001, &#x03b7;p&#x00b2; = 0.026), suggesting that the simulation increased student situational interest. The authors conclude that interactive numerical simulations are a promising approach for improving electrochemistry understanding and stimulating student interest.</p>
            <p> Scientific Soundness: Key Strengths and Gaps</p>
            <p> Strengths include a large sample size and a pre-test/post-test design with a control group, enabling examination of changes over time and suggesting causal inferences about the intervention&#x2019;s effects. Using multiple outcomes (conceptual performance, misconceptions, situational interest) provides a comprehensive view of impact.</p>
            <p> Gaps and remedies: 
                <list list-type="bullet">
                    <list-item>
                        <p>Randomization and equivalence: The abstract does not specify randomization. If randomization was not used, the study should justify the assignment method and show baseline equivalence analyses to rule out selection bias.</p>
                    </list-item>
                    <list-item>
                        <p>Intervention details: Critical information about the simulation (software, content, duration, frequency, fidelity checks) is missing and should be provided to enable replication.</p>
                    </list-item>
                    <list-item>
                        <p>Measurement validity: Details on the validity and reliability of the pre/post assessments and the IS2G scale are absent. Validity evidence and reliability metrics should be reported.</p>
                    </list-item>
                    <list-item>
                        <p>Statistical reporting: Degrees of freedom for the IS2G interaction, exact group sizes, and assumptions checks are unclear. Full reporting of effect sizes (e.g., Cohen&#x2019;s d, partial eta-squared) and confidence intervals is needed.</p>
                    </list-item>
                    <list-item>
                        <p>Attrition and generalizability: Information on participant retention and the study&#x2019;s ecological validity (grade level, location, school types) is necessary.</p>
                    </list-item>
                    <list-item>
                        <p>Ethics: The abstract omits consent and approvals; these must be declared for research with minors.</p>
                    </list-item>
                </list> Actions for strengthening the article 
                <list list-type="bullet">
                    <list-item>
                        <p>Clarify design: State randomization method or justify non-random allocation; present baseline equivalence tests.</p>
                    </list-item>
                    <list-item>
                        <p>Elaborate intervention: Describe the numerical simulation in detail, including duration, frequency, and fidelity measures.</p>
                    </list-item>
                    <list-item>
                        <p>Validate measures: Provide reliability and validity data for tests and the IS2G scale; consider using established instruments.</p>
                    </list-item>
                    <list-item>
                        <p>Expand statistics: Report exact n per group, change-score analyses, effect sizes, confidence intervals, and assumption checks.</p>
                    </list-item>
                    <list-item>
                        <p>Address generalizability and ethics: Include participant demographics, school contexts, and ethical approvals.</p>
                    </list-item>
                </list> Three to five practical recommendations for authors 
                <list list-type="bullet">
                    <list-item>
                        <p>Pre-register hypotheses and analysis plans to bolster credibility.</p>
                    </list-item>
                    <list-item>
                        <p>Include a robust fidelity checklist and provide materials to facilitate replication.</p>
                    </list-item>
                    <list-item>
                        <p>Present complete statistical results, with effect sizes and confidence intervals, and discuss limitations openly</p>
                    </list-item>
                </list> Introduction</p>
            <p> The introduction argues that advances in technology and digital tools such as animations, virtual laboratories, and AI-enabled simulations offer promising solutions for teaching electrochemistry, a field described as conceptually abstract and demanding. It contends that digital approaches can enhance conceptual understanding and boost situational interest, addressing practical barriers to hands-on experiments (resources, time, teacher training), especially in developing contexts like Morocco. The inferred research aim is to examine whether interactive numerical simulations improve students&#x2019; electrochemistry concept mastery, raise situational interest, and identify learning obstacles (e.g., abstractness, accessibility) that simulations might mitigate. Theoretical framing centers on interest-based learning as crucial for academic success and cognitive elaboration, differentiating conceptual difficulties (misconceptions about oxidation-reduction) from procedural ones (balancing redox reactions). The educational technology context positions animations, virtual laboratories, and immersive AI environments as potential remedies for resource constraints and cognitive overload. The introduction highlights global and local considerations, including resource constraints, digital divide, policy, and institutional support, and suggests digital simulations as scalable means to approximate hands-on learning. Anticipated contributions include empirical insights into how simulations affect conceptual understanding and situational interest, and mapping obstacles simulations can alleviate, while noting areas for future work such as rigorous design, measurement validity, and ethical considerations.</p>
            <p> 
                <bold>The theoretical framework</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Core idea: Interactive digital simulations, as simplified computer models, align with constructivist learning by centering the learner and enabling exploration of authentic situations. Simulations offer a safer, time-efficient, and visually accessible means to grasp abstract electrochemistry concepts (e.g., redox, electron transfer) and microscopic processes that are hard to visualize on paper.</p>
                    </list-item>
                    <list-item>
                        <p>Specific tool: CK-12 interactive simulations for Electrochemical Cells, with guided worksheets that link half-reactions to observable outcomes (e.g., lamp lighting). Students can manipulate electrode materials to observe effects, reinforcing connections between theory and phenomena.</p>
                    </list-item>
                    <list-item>
                        <p>Learning benefits: Enhanced visualization of abstract concepts, engagement through variable manipulation, and promotion of metacognitive reflection as students explore input changes.</p>
                    </list-item>
                    <list-item>
                        <p>Situational interest: Framed as content- and context-specific motivation generated by the learning activity itself, distinguishing from more global, enduring interests potentially influenced by external factors.</p>
                    </list-item>
                    <list-item>
                        <p>Considerations for practice: Emphasizes immediate classroom relevance and accessibility, noting digital simulations&#x2019; potential to mitigate resource constraints and cognitive overload in electrochemistry education.</p>
                    </list-item>
                </list> Methodology</p>
            <p> The design lacks clarity on randomization (cluster vs. individual) and allocation concealment, risking selection bias. Although ethical approval and consent are stated, no details on attrition or handling missing data are provided. The CK-12 simulation&#x2019;s exact content, duration, and fidelity checks are omitted, hindering replication. IS2G validity for electrochemistry contexts is not established here. Report group sizes, pre-post gain scores, and effect sizes. Ensure proper randomization, fidelity monitoring, validated instruments, and transparent data handling for scientific soundness.</p>
            <p> Conclusion</p>
            <p> The conclusion overstates causality given a quasi-experimental design and lacks effect sizes, confidence intervals, and sample-by-sample reporting. It claims &#x201c;ISA dimension&#x201d; most influenced without defining/identifying which dimension or providing stats. It notes misconceptions persist yet endorses simulations as sufficient to eliminate them, which is unsupported. Key missing points: explicit group sizes, attrition, fidelity of the CK-12 tool, validation of IS2G in electrochemistry, and consideration of learner diversity. Recommend cautious causal language and rigorous reporting of effect sizes, validity, and limitations.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</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>Science Education, Chemistry Education and General 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>
