Keywords
Motivation, Perception, Clinical learning, Medical student
We aimed to assess perception of clinical learning (CL) Environment, measure motivation for CL among FMS (Faculty of Medicine of Sousse) students’ and to find its associated factors.
A cross sectional study was conducted in the FMS, among undergraduate medical students from October to November 2022 using a self-administered questionnaire. We determined the students’ perception of CLE and used the Motivation section of the French version of the Motivated Strategies for Learning Questionnaire (MSLQ), to measure motivation for CL.
We gathered 169 students’ responses with mean age:22.34 ± 1.2 years. Motivation global score was medium (4.66±0.9). The subscale "self-efficacy for learning and performance" had the highest score of 4.95± 1.17. Higher scores of ‘intrinsic goal orientation’, ‘task value’, and ‘self-efficacy for learning and performance’ are significantly associated with excellent clinical learning evaluation. Students who perceived that supervisors are always for them, had higher motivation scores on the task value (p<10−3), control beliefs (p=0.005), and self-efficacy for learning subscales.
Additional research involving all four Tunisian medical faculties, multiple centers, and a larger sample size is necessary to thoroughly explore medical student motivation at a national level.
Motivation, Perception, Clinical learning, Medical student
Clinical learning (CL) is defined as a complex and authentic process in which students learn as part of a team, in direct contact with healthy or sick individuals or communities.1
Defined as the workplace for health professions students during clinical placements, the clinical learning environment (CLE) serves as a crucial arena where theoretical knowledge is applied to practice, clinical skills are acquired, and problem-solving abilities are developed.2,3
It is important to motivate medical students to actively engage in CL for their professional development and the delivery of high-quality healthcare.
Motivation in CL refers to the drive, enthusiasm, and willingness of students to actively participate, learn, and excel in their clinical experiences. It influences their engagement, persistence, and overall learning outcomes.
In 2004, Brophy defined motivation as a theoretical concept that explains the onset, direction, strength, and persistence of goal-directed behavior.4 Motivation to learn is widely acknowledged as central to effective education.5–7 It is seen as a key element in ensuring progress and learning improvement.8
The significance of motivation in learning behavior and education is well-researched and established in general education, but less so in medical education. Much can be learned in medical education research from the wealth of literature on general education, where motivation is a predictor of learning, academic success, progression, and well-being.9 The factors that influence medical student motivation during CL remain poorly understood.
Understanding the factors that drive motivation in CL can enhance educational strategies and ultimately contribute to better-prepared, competent healthcare professionals.10
The complexity of motivation in clinical learning, influenced by internal, external, social, and environmental factors, necessitates a nuanced understanding among medical mentors. As crucial contributors to the CLE, mentors must recognize the intricate interplay of these motivators to tailor instructional methods effectively, creating an atmosphere that promotes sustained engagement and enthusiasm among students.1
Exploring motivation in CL can be challenging due to the various settings, features, and stakeholders involved.11
Approaches and methods to student motivation in this specific field of learning appear to be poorly documented scientifically.
Our study aimed to assess the perception of CLE, to measure motivation for clinical learning among FMS (Faculty of Medicine of Sousse) students’ and to find associated factors to motivation in clinical learning clerkships.
A cross-sectional study was conducted in the FMS, among undergraduate medical students enrolled in the academic year 2022/2023. Data were collected from October to November 2022.
Target population: Undergraduate medical students assigned to clinical clerkships daily.
Source population: Undergraduate medical students of the FMS who are enrolled from the third to fifth year of medical studies.
Motivation for clinical learning: Refers to the internal and external factors that motivate medical students to engage and persist in clinical education. Motivation for clinical learning plays an important role in student engagement, knowledge retention and skill acquisition, which ultimately impacts professional competence.12
Students’ value beliefs: Refer to the importance, usefulness and personal relevance they attach to a learning task. These beliefs influence their motivation, engagement and persistence in academic activities.13
Expectancy: Refers to what students believe about their ability to complete a task successfully and how they feel about their abilities.13
A pretested self-administered questionnaire was distributed through Google Forms to the students’ email addresses provided by the faculty administration. Only one response was allowed for each participant, and it was composed of three major sections:
1. First section: Explored socio-demographic, academic and related CL information’s (age, gender, academic level, socioeconomic level, perceived academic rank (bottom, middle, or top third), current clinical learning clerkship department and duration, number of shifts per week).
2. Second section: Measured the motivation component of the Motivated Strategies for Learning Questionnaire (MSLQ), a self-report instrument originally developed by Pintrich et al. (1991) to assess students’ motivation and learning strategies in an educational context. The MSLQ is based on a general cognitive view of motivation and learning strategies and consists of several subscales measuring intrinsic and extrinsic goal orientation, task value, control beliefs, self-efficacy, and test anxiety.14
There are essentially two sections to the MSLQ, a motivation section, and a learning strategies section. The motivation section (31 items) assesses students’ goals and value beliefs for a course, their beliefs about their skills to succeed in a course, and their anxiety about tests in a course. The learning strategy section assesses students’ use of different cognitive and metacognitive strategies.
The scales are designed to be modular and can be used to fit the needs of the researcher or instructor. Hence, we can use the two sections singly or together.
For our study, we used the Motivation section of the French version of the MSLQ, validated in 2019 among Tunisian health sciences students with good internal consistency.1
The French version of motivational scales consist of 26 items addressing three theoretical components of motivation: value beliefs, expectancy, and affect.
Value beliefs are assessed with three subscales on intrinsic goal orientation (items 1, 14), extrinsic goal orientation (items 6, 9, 11, 25), and task value (items 3, 15, 19, 21, 22).
- Intrinsic goal orientation: Refers to student’s general goals or orientation to the course. Intrinsic goal orientation concerns the degree to which the student perceives himself to be participating in a task for reasons such as challenge, curiosity, and mastery.
- Extrinsic goal orientation: Complements intrinsic goal orientation and concerns the degree to which the student perceives himself to be participating in a task for reasons such as grades, rewards, performance, evaluation by others, and competition.
- Task value: Task value refers to students’ perceptions of the course material in terms of interest, importance, and utility.
Expectancy is assessed using two subscales, self-efficacy (items 4, 5, 10, 13, 17, 18, 24, 26), and control of beliefs about learning (items 8, 20). These subscales are concerned with judgments about one’s ability and confidence in skills to accomplish a task as well as students’ beliefs that their efforts to learn will result in positive outcomes, respectively.
- Self-efficacy for learning and performance: Self-efficacy includes judgments about one’s ability to accomplish a task as well as one’s confidence in one’s skills to perform that task.
- Control of learning beliefs: Refers to students’ beliefs that their efforts to learn will result in positive outcomes. It concerns the belief that outcomes are contingent on one’s effort, in contrast to external factors such as the teacher.
Affect is assessed using test anxiety subscale (items 2, 7, 12, 16, 23).
- Test anxiety: Thought to have two components: a worry, or cognitive component, and an emotionality component. The worry component refers to students’ negative thoughts that disrupt performance, while the emotionality component refers to the affective and physiological arousal aspects of anxiety.
Item scores are measured with a Likert scale from 1 to 7 where 1 = not at all true of me and 7 = very true of me.
The highest scores indicate favorable results, except for the test anxiety subscale. the data were categorized into 3 categories: low scores (1.0 to <2.5), medium scores (2.51 to <5), and high scores (5.01 to <7).
3. Third section: Students were asked to express their perceptions of the clinical learning environment (CLE) using a Likert-type scale, from 1 (totally disagree) to 5 (totally agree).
Items were inspired by the Undergraduate Clinical Education Environment Measure (UCEEM)15 developed in Sweden and assessing students’ perception of their CLE with four subdomains of preparedness for student entry and engagement, opportunities to learn in and through work and quality of supervision, workplace interaction patterns and student inclusion, and equal treatment.
Data was imported from Google Forms to Statistical Package for the Social Sciences (SPSS) for Windows version 20 for analysis.
Qualitative variables were summarized as absolute frequencies (n) and relative frequencies (%). For quantitative data, the normality of the distribution was tested by the Kolmogorov-Smirnov test and the Shapiro-Wilk test. Quantitative variables with a normal distribution were expressed as means ± standard deviation; those without a normal distribution were expressed as medians with inter-quartile range (IQR).
Motivation scales were compared according to academic results and general information about the CLE, to determine associated factors to motivation.
We used the ANOVA test and the student test. We used the Bonferroni post hoc test to compare the group means in pairs and identify significant differences. The significance level was set at 5%.
Faculty of Medicine of Sousse Ethics Committee, approved the study. The approval reference: CEFMSo_0002_2024.
Participation was voluntary and anonymous. Informed consent was obtained from all participants before they proceeded with the questionnaire.
The questionnaire was distributed through Google Forms to students’ institutional email addresses, which were provided by the faculty administration. At the beginning of the questionnaire, participants were presented with a clear explanation of the study’s purpose, objectives, and their rights, including the right to withdraw at any time without any consequences. They were then asked, if they would like to participate in this study. Only those who explicitly selected “Yes” were allowed to proceed with the questionnaire, ensuring that all participants actively provided their consent before participating.
As this consent was obtained electronically and explicitly through Google Forms. This study was performed in line with the principles of the Declaration of Helsinki.
Furthermore, participant identities were kept anonymous, and recruits were provided with an explanation of the study’s goal and main aspects, as well as a clarification of their right to withdraw at any time.
Personal information collected would be kept strictly confidential and used solely for this study
The total number of registered students of the FMS for the academic year 2022-2024 was 800 distributed respectively for the 3rd, 4th and 5th year as follow: 267, 268 and 265.
A total of 169 students responded to the questionnaire (response rate = 21;12%). Females predominated, with a sex ratio, in of 0.57. The mean age of the students was 22.34 ± 1.2 years, with extremes ranging from 19 to 28 years ( Table I).
| Socio-demographic and academic characteristics | n(%) |
|---|---|
| Gender | |
| Male | 62(36.7) |
| Female | 107(63.3) |
| Year of Study | |
| 3rd Year | 30(17.8) |
| 4th Year | 45(26.6) |
| 5th Year | 94(55.6) |
| Perceived socio-economic level | |
| Low | 5(3) |
| Medium | 148(87.6) |
| High | 16(9.5) |
| Current CL establishment | |
| UHa Sahloul Sousse | 63(37.3) |
| UH Farhat Hached Sousse | 102(60.4) |
| UH Ibn Jazzar Kairouan | 2(1.2) |
| PHCb | 2(1.2) |
| Current CL site | |
| Medical | 96(56.8) |
| Surgical | 50(29.6) |
| Emergency | 23(13.6) |
| Perceived academic rank | |
| Top third | 30(17.8) |
| Middle | 121(71.6) |
| Bottom | 18(10.7) |
A CL clerkship period took less than two weeks for almost two-thirds of respondents (70.4%). The most used evaluation methods of clinical learning were the Objective Structured Clinical Examination (OSCE) (79.9%) followed by the clinical learning notebook (74.6%) ( Table II).
Most students agree or strongly agree that the tasks were relevant to the learning objectives (68.5%) and that their tasks were sufficiently appropriate for their level of knowledge and skills (65.1%). Only 58.3% approve that they can put into practice their theoretical knowledge ( Table III).
The global score for motivation was medium (4.66 ± 0.9). The subscale “self-efficacy for learning and performance” had the highest score of 4.95 ± 1.17, while the subscale “control of beliefs” had the lowest score of 3.99 ± 1.39 ( Table IV).
| Affective components m (SD) | ||
|---|---|---|
| Test anxiety | ||
| I2 | 3.85(1.66) | |
| I7 | 4.30(1.61) | |
| I12 | 4.18(1.76) | |
| I16 | 4.10(1.79) | |
| I23 | 4.32(1.93) | |
| Subscale total score | S6 | 4.14(1.17) |
| Motivation Total score | 4.66(0.90) | |
A comparison of motivation subscales scores according to different independent variables is shown in ( Table V).
| Motivation subscales | ||||||
|---|---|---|---|---|---|---|
| Intrinsic goals | Extrinsic goals | Task value | Control beliefs | Self-efficacy for learning and performance | Test anxiety | |
| Academic level | ||||||
| 3rd Year | 4.63(1.21) | 4.80(1.18) | 5.07(1.60) | 3.88(1.51) | 4.81(1.30) | 4.42(1.44) |
| 4th Year | 4.72(1.16) | 4.86(1.23) | 4.94(1.23) | 3.88(1.28) | 4.88(1.08) | 4.01(1.33) |
| 5th Year | 4.95(1.40) | 4.42(1.43) | 4.89(1.33) | 4.07(1.42) | 5.03(1.17) | 4.12(1.47) |
| p = 0.409 | p = 0.143 | p = 0.830 | p = 0.674 | p = 0.601 | p = 0.464 | |
| The clinical learning evaluation result | ||||||
| Excellent | 5.28(1.18)* | 4.99(1.27) | 5.15(1.44)* | 4.12(1.36) | 5.16(1.36)* | 3.98(1.58) |
| Medium | 4.77(1.33) | 4.45(1.36) | 4.92(1.16) | 4.07(1.40) | 5.09(0.91) | 4.21(1.40) |
| Low | 4.44(1.46)* | 4.05(1.33) | 3.71(1.76)* | 3.27(1.32) | 3.55(1.22)* | 4.46(1.51) |
| I don’t know | 4.49(1.27) | 4.46(1.35) | 4.94(1.29) | 3.89(1.43) | 4.83(1.04) | 4.18(1.28) |
| p = 0.011 | p = 0.063 | p = 0.031 | p = 0.347 | p = 0.001 | p = 0.728 | |
| Perceived academic rank | ||||||
| Top third | 5.35(1.03)* | 4.90(1.24) | 5.28(1.42) | 4.33(1.24) | 5.31(1.19) | 3.73(1.61) |
| Middle | 4.76(1.35) | 4.46(1.35) | 4.90(1.36) | 3.90(1.37) | 4.90(1.14) | 4.22(1.34) |
| Bottom | 4.47(1.23)* | 5,05(1.36) | 4.64(1.12) | 4.02(1.73) | 4.67(1.25) | 4.30(1.61) |
| p = 0.039 | p = 0.097 | p = 0.242 | p = 0.323 | p = 0.135 | p = 0.212 | |
| The supervisors are well prepared for supervision | ||||||
| Completely disagree or disagree | 4.32(1.33)* | 4.56(1.43) | 4.32(1.49)* | 3.25(1.49)* | 4.34(1.27)* | 3.78(1.35) |
| indifferent | 4.62(1.23) | 4.06(1.40)* | 4.63(1.34) | 3.65(1.15) | 4.87(0.94) | 3.89(1.18) |
| agree or strongly agree | 5.05(1.27)* | 4.79(1.26)* | 5.22(1.23)* | 4.33(1.33)* | 5.16(1.14)* | 4.34(1.49) |
| p = 0.012 | p = 0.026 | p = 0.001 | p < 10 -3 | p = 0.002 | p = 0.081 | |
| I have easy access to my supervisors | ||||||
| Completely disagree or disagree | 4.68(1.40) | 4.47(1.44) | 4.20(1.53)* | 3.39(1.36)* | 4.59(1.24)* | 4.06(1.28) |
| Indifferent | 4.38(0.95) | 4.45(1.43) | 4.72(1.18) | 3.90(1.49) | 4.59(1.11) | 3.79(1.22) |
| Agree or strongly agree | 5.02(1.32) | 4.71(1.28) | 5.29(1.16)* | 4.25(1.30)* | 5.20(1.09)* | 4.30(1.53) |
| p = 0.059 | p = 0.497 | p < 10 -3 | p = 0.005 | p = 0.004 | p = 0.177 | |
| As a student, I am received a positive the way by the staff here | ||||||
| Completely disagree or disagree | 4.64(1.48) | 4.36(1.57) | 4.31(1.43)* | 3.34(1.47)* | 4.58(1.20)* | 3.64(1.34)* |
| Indifferent | 4.55(1.04) | 4.76(1.24) | 5.02(1.23) | 3.98(1.34) | 4.86(0.99) | 4.35(1.09) |
| Agree or strongly agree | 5.04(1.30) | 4.64(1.29) | 5.17(1.30)* | 4.27(1.30)* | 5.15(1.20)* | 4.27(1.55)* |
| p = 0.079 | p = 0.393 | p = 0.004 | p = 0.002 | p = 0.031 | p = 0.039 | |
| Communication between those working here is good | ||||||
| Completely disagree or disagree | 4.62(1.42) | 4.57(1.39) | 4.58(1.42)* | 3.45(1.32)* | 4.71(1.28) | 3.84(1.17) |
| Indifferent | 4.67(1.17) | 4.30(1.43) | 4.67(1.14) | 3.83(1.48) | 4.68(0.87) | 4.11(1.34) |
| Agree or strongly agree | 4.96(1.30) | 4.72(1.29) | 5.16(1.35)* | 4.25(1.34)* | 5.13(1.19) | 4.27(1.53) |
| p = 0.286 | p = 0.300 | p = 0.040 | p = 0.010 | p = 0.060 | p = 0.308 | |
| I have the opportunity to put my theoretical knowledge into practice in this placement | ||||||
| Completely disagree or disagree | 4.44(1.34) | 4.16(1.34)* | 4.33(1.48)* | 3.34(1.35)* | 4.53(1.24)* | 3.79(1.35) |
| Indifferent | 4.70(1.20) | 4.81(1.43)* | 4.85(1.25) | 3.77(1.42) | 4.97(0.98) | 3.97(1.16) |
| Agree or strongly agree | 5.03(1.30) | 4.73(1.30) | 5.20(1.26)* | 4.34(1.31)* | 5.10(1.18)* | 4.34(1.50) |
| p = 0.054 | p = 0.047 | p = 0.003 | p < 10 -3 | p = 0.041 | p = 0.087 | |
| My work tasks are relevant to the learning objectives | ||||||
| Completely disagree or disagree | 4.54(1.14) | 4.14(1.31)* | 4.32(1.62)* | 3.35(1.42)* | 4.48(1.35)* | 3.63(1.46)* |
| Indifferent | 4.79(1.05) | 4.31(1.30) | 4.59(1.28) | 3.72(1.30) | 4.52(1.06) | 3.80(1.27) |
| Agree or strongly agree | 4.91(1.33) | 4.78(1.34)* | 5.15(1.22)* | 4.22(1.36)* | 5.15(1.09)* | 4.33(1.41)* |
| p = 0.379 | p = 0.036 | p = 0.005 | p = 0.005 | p = 0.004 | p = 0.026 | |
| My work tasks are suitably challenging for my level of knowledge and skills | ||||||
| Completely disagree or disagree | 4.34(1.55)* | 4.54(1.40) | 4.42(1.48)* | 3.20(1.24)* | 4.44(1.19)* | 4.07(1.45) |
| Indifferent | 4.65(1.19) | 4.43(1.33) | 4.49(1.33) | 4.21(1.25)* | 4.72(1.01) | 3.85(1.28) |
| Agree or strongly agree | 5.03(1.20)* | 4.66(1.34) | 5.20(1.24)* | 4.20(1.39)* | 5.17(1.14)* | 4.23(1.45) |
| p = 0.018 | p = 0.719 | p = 0.003 | p = 0.001 | p = 0.003 | p = 0.478 | |
| Agree or strongly agree | 4.96(1.30) | 4.72(1.29) | 5.16(1.35)* | 4.25(1.34)* | 5.13(1.19) | 4.27(1.53) |
| p = 0.286 | p = 0.300 | p = 0.040 | p = 0.010 | p = 0.060 | p = 0.308 | |
| I have the opportunity to put my theoretical knowledge into practice in this placement | ||||||
| Completely disagree or disagree | 4.44(1.34) | 4.16(1.34)* | 4.33(1.48)* | 3.34(1.35)* | 4.53(1.24)* | 3.79(1.35) |
| Indifferent | 4.70(1.20) | 4.81(1.43)* | 4.85(1.25) | 3.77(1.42) | 4.97(0.98) | 3.97(1.16) |
| Agree or strongly agree | 5.03(1.30) | 4.73(1.30) | 5.20(1.26)* | 4.34(1.31)* | 5.10(1.18)* | 4.34(1.50) |
| p = 0.054 | p = 0.047 | p = 0.003 | p<10 -3 | p = 0.041 | p = 0.087 | |
| My work tasks are relevant to the learning objectives | ||||||
| Completely disagree or disagree | 4.54(1.14) | 4.14(1.31)* | 4.32(1.62)* | 3.35(1.42)* | 4.48(1.35)* | 3.63(1.46)* |
| Indifferent | 4.79(1.05) | 4.31(1.30) | 4.59(1.28) | 3.72(1.30) | 4.52(1.06) | 3.80(1.27) |
| Agree or strongly agree | 4.91(1.33) | 4.78(1.34)* | 5.15(1.22)* | 4.22(1.36)* | 5.15(1.09)* | 4.33(1.41)* |
| p = 0.379 | p = 0.036 | p = 0.005 | p = 0.005 | p = 0.004 | p = 0.026 | |
| My work tasks are suitably challenging for my level of knowledge and skills. | ||||||
| Completely disagree or disagree | 4.34(1.55)* | 4.54(1.40) | 4.42(1.48)* | 3.20(1.24)* | 4.44(1.19)* | 4.07(1.45) |
| Indifferent | 4.65(1.19) | 4.43(1.33) | 4.49(1.33) | 4.21(1.25)* | 4.72(1.01) | 3.85(1.28) |
| Agree or strongly agree | 5.03(1.20)* | 4.66(1.34) | 5.20(1.24)* | 4.20(1.39)* | 5.17(1.14)* | 4.23(1.45) |
| p = 0.018 | p = 0.719 | p = 0.003 | p = 0.001 | p = 0.003 | p = 0.478 | |
There was no statistically significant difference between different levels of study in terms of motivational subscales. Higher scores of ‘intrinsic goal orientation’, ‘task value’, and ‘self-efficacy for learning and performance’ are significantly associated with excellent clinical learning evaluation. Students who agreed or strongly agreed that they had the opportunity to put their theoretical knowledge into practice in clinical learning had higher motivation scores for the subscales ‘task value’ (p = 0.003), ‘control beliefs’ (p < 10−3), and ‘self-efficacy for learning and performance’ (p = 0.041).
Students who agreed or strongly agreed that there were always available supervisors for them, had higher motivation scores on the task value (p < 10−3), control beliefs (p = 0.005), and self-efficacy for learning and performance (p = 0.004) subscales.
Students who agreed or strongly agreed that CL supervisors are well prepared for supervision had higher motivation scores for the subscales ‘intrinsic goal orientation’ (p = 0.012), ‘extrinsic goal orientation’ (p = 0.026), ‘task value’ (p = 0.001), ‘control beliefs’ (p < 10−3) and ‘self-efficacy for learning and performance’ (p = 0.002).
Clinical learning, an integral component of healthcare education, plays a pivotal role in preparing future healthcare professionals for the dynamic and challenging environments they will encounter in their careers. Motivation, a driving force that propels individuals toward their goals, is a crucial factor in the success of CL experiences.
Our study aimed to determine undergraduate medical students’ perception of CLE measure motivation for CL among medical students in the FMS and identify its associated factors.
The educational environment for learning is one of the most significant determinants of effective implementation of curriculum. Students’ perception of the educational environment is crucial for improving and modifying the quality of medical education.
Overall, respondents reported moderate scores related to CLE perception and revealed areas that could be improved. This indicates that students’ CLE perceptions were generally positive. These are consistent with previous studies’ results.16
In our study, students obtained an average score of 4.66 ± 0.90 for motivation towards CL. This indicates a medium level of motivation among students.
The lowest mean motivation score among students was 3.99 for ‘control of learning beliefs’. This finding may indicate that students perceive a lack of control or influence over their CL experience. This could be due to factors such as the structure of the clinical curriculum, communication with tutors, or the overall learning environment.
Students should be given immediate feedback on their progress and should be valued as unique individuals, which enhances their control over learning. Therefore, CL tutors should adopt a “constructivist” approach to instruction in which students are empowered to construct their representations of reality through actively engaging them in the learning process and learning by doing.17
In Dempsey and al’s study, medical students recorded the lowest average motivation score of 4.57 for “test anxiety,” whilst dental students scored the lowest in “intrinsic goal orientation” with an average of 5.05.18
The top mean motivation score among students was 4.95 for ‘self-efficacy for learning and performance’. This suggests that students feel confident in their ability to succeed in CL situations. High self-efficacy is commonly linked to elevated motivation and persistence when confronted with challenges. As per Bandura, self-efficacy is a crucial motivational resource that influences human performance either directly or indirectly through the motivational process.7 Multon, Brown, and Lent’s meta-analysis on self-efficacy beliefs and academic achievement revealed that self-efficacy accounts for 14%-32% of the variance in academic achievements.19 Therefore, we deduce that encouraging students to reflect on their clinical experiences and self-assess their performance can promote metacognitive awareness and enhance self-efficacy.
Students scoring higher on the Intrinsic Goal Orientation subscale had excellent CL results 5.28 ± 1.18 (p = 0.011) and academic rankings (p = 0.039). Individuals’ intrinsic goal orientation, which denotes their innate drive to master a task or acquire knowledge, has continuously correlated with improved learning and academic performance.20 It was shown that intrinsically motivated students are more persistent in their studies.21
The excellent CL outcomes achieved by students with higher intrinsic goal orientation scores are consistent with the broader literature on motivation and learning outcomes. A UK-based study discovered that distinct internal motivations encourage medical students’ learning.22 The connection between intrinsic goal orientation and good academic rank emphasizes the significance of intrinsic motivation not just in clinical education but also in academic success more broadly. Students who pursue their education with intrinsic goals are more likely to exhibit a profound involvement with the subject matter and an elevated level of critical thinking. These factors collectively contribute to achieving higher academic rankings.23
In our study, we found that students with higher motivation scores on the extrinsic goal orientation subscale agreed or strongly agreed that tasks are relevant to learning goals 4.78 ± 1.34, revealing an interesting link between extrinsic motivation and perceived task relevance. Extrinsic goal orientation pertains to external motivators such as rewards, grades, or approval. This link suggests that students who are more externally motivated may perceive tasks as meaningful when they see a strong connection between those tasks and the achievement of external rewards or recognition.24 In this sense, Cameron and Pierce discovered that acknowledging the impact of extrinsic motivation on perceived task relevance enables teachers to create learning activities that explicitly highlight the real-world applications of the content or demonstrate how completing certain tasks is linked to achieving external rewards. This approach permits educators to employ extrinsic motivation to increase student engagement and the perceived relevance of the course material.25
Medical students who agreed or strongly agreed that the CL mentors were well prepared to supervise had higher motivation scores on the extrinsic goal orientation subscale 5.05 ± 1.27. The presence of a positive correlation between students’ perceptions of mentor preparedness and higher extrinsic goal orientation scores implies that when students think that their mentors are well-prepared, they may be more motivated. This association aligns with the current literature on the significance of mentorship in medical education and how mentors’ traits can impact student engagement and motivation.26 Taylor et al.’s work demonstrated that when supervisors are aware of the learning objectives, they can identify students’ learning needs and provide relevant learning experiences.27 When students perceive their supervisors as a source of guidance, constructive feedback, and a supportive learning environment, it contributes to a positive CLE.28
Students who agreed or strongly agreed that they felt welcome and received in a positive the way the staff in the CL environment had significantly higher motivational scores for test anxiety 4.27 ± 1.55 (p = 0.039) than those who disagreed or strongly disagreed 3.64 ± 1.34 (p = 0.039). This suggests that feeling welcomed in the CL department has the potential to improve motivation scores for test anxiety. According to the Putwain et al. study, feeling welcome is associated with higher motivational scores for test anxiety and also suggests a nuanced relationship between anxiety and motivation. Although high levels of test anxiety can be seen as negative, it can also act as a motivating factor, encouraging students to put more time and effort into their studies.29
Considering this evidence, educational institutions must prioritize the establishment of a welcoming and supportive CL environment.30
Learning takes place in complex contexts, requiring practitioners to overcome various motivational, systemic, emotional, and social barriers to the application of knowledge.31 Although effective performance in clinical settings requires the integration between theory and practice, there is a gap between theoretical knowledge as taught in the classroom and what the students experience in clinical settings.
We found that most motivation subscales are significantly associated with higher agreement about alignment between theoretical knowledge and practices. On the other hand, continuity between learning objectives and tasks or skills is significantly associated with almost all motivation subscales. This promotes a smooth transition from classroom learning to clinical practice. Hence, in real clinical situations, they can generalize from what they have learned in theory.32
To our knowledge, this is the first Tunisian study to deal with assessing medical student perception and motivation toward CL.
However, our work has some limitations. Firstly, data collection method adopted in this work via Google forms presents some disadvantages compared to a face-to-face interview such as distrust of the anonymity and confidentiality of data with an often-lower response rate which was noticed in this study. Additionally, we should acknowledge the potential existence of a selection bias, since 55% of our sample is composed of 5th year student, which is partially explained by their higher impregnation by CLE.
Further research should be undertaken with the involvement of all four Tunisian medical faculties at multiple centers and larger sample size to thoroughly explore the phenomenon of medical student motivation at a national level.
When students perceive their supervisors as a source of guidance, constructive feedback, and a supportive learning environment, it contributes to a positive CLE.
Faculty of Medicine of Sousse Ethics Committee approved the study. The approval reference: CEFMSo_0002_2024.
Participation was voluntary and anonymous. Informed consent was obtained from all participants before they proceeded with the questionnaire.
The questionnaire was distributed through Google Forms to students’ institutional email addresses, which were provided by the faculty administration. At the beginning of the questionnaire, participants were presented with a clear explanation of the study’s purpose, objectives, and their rights, including the right to withdraw at any time without any consequences. They were then asked, Would you like to participate in this study? Only those who explicitly selected “Yes” were allowed to proceed with the questionnaire, ensuring that all participants actively provided their consent before participating.
As this consent was obtained electronically and explicitly through Google Forms. This study was performed in line with the principles of the Declaration of Helsinki.
Zenodo: Assessing perception and motivation of medical student concerning clinical learning in the Faculty of Medicine of Sousse (Tunisia). https://doi.org/10.5281/zenodo.17629572.33
This project contains the following underlying data:
Data are available under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Zenodo: questionnaire MLSQ English. https://doi.org/10.5281/zenodo.17629027.34
This project contains the following underlying data:
• questionnaire MLSQ_English.docx (anonymised underlying data)
Data are available under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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