The Impact of Academic Burnout on the Motivational Orientations of Learners of French as a Foreign Language: A PLS-SEM Approach
Authors
Akademi Pengajian Bahasa, Universiti Teknologi MARA, Shah Alam, Malaysia (Malaysia)
Akademi Pengajian Bahasa, Universiti Teknologi MARA, Shah Alam, Malaysia (Malaysia)
Akademi Pengajian Bahasa, Universiti Teknologi MARA, Shah Alam, Malaysia (Malaysia)
Industrial Automation / France Collaboration Program, University Kuala Lumpur, France Institute, Bangi, Selangor, Malaysia (Malaysia)
Pusat Bahasa, Universiti Pertahanan Nasional Malaysia, Kuala Lumpur, Malaysia (Malaysia)
Fakulti Bahasa dan Linguistik, Universiti Malaya, Kuala Lumpur, Malaysia (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2026.102100020
Subject Category: Language
Volume/Issue: 10/21 | Page No: 232-249
Publication Timeline
Submitted: 2026-06-18
Accepted: 2026-06-30
Published: 2026-07-24
Abstract
With growing pressure in today’s world, students are facing burnout from meeting academic demands. This may influence students’ motivation and academic engagement, which causes growing concern in higher education. Therefore, this study is conducted to examine the influence of burnout on students’ motivation by integrating the Job Demands–Resources Model and Expectancy–Value Theory. These relationships are then tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). A questionnaire consisting of three components including value, expectancy, and affective was distributed to 125 undergraduate students. The results were then analysed using SmartPLS, following a two-stage procedure involving measurement and structural model assessment. The findings revealed that the measurement model exhibited satisfactory reliability and validity across all constructs. Structural model results revealed that disengagement exerted significant effects on all three motivational components (value, expectancy, and affective), indicating its strong and consistent influence on students’ motivational beliefs and emotional responses toward learning. Exhaustion, however, showed a more selective impact, significantly influencing expectancy but not value or affective components. Overall, the results suggest that motivational withdrawal affects students' motivation greater than emotional fatigue. These findings contribute to a more detailed understanding of how multiple aspects of burnout may affect students' motivation. The study also highlighted that PLS-SEM is useful in studying the complex relationship between psychological constructs. The results of this study contribute to addressing students’ loss of interest and highlight the role of educators in supporting student motivation during lessons.
Keywords
Burnout, Motivation, Exhaustion and Disengagement, Expectancy–Value Theory, PLS-SEM
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References
1. Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056 [Google Scholar] [Crossref]
2. Campos, J.A.D.B., Zucoloto, M.L., Bonafé, F.S.S., Jordani, P.C. and Maroco, J. (2011). Reliability and Validity of Self-Reported Burnout in College Students: A Cross Randomized Comparison of Paper-and-Pencil vs. Online Administration. Computers in Human Behavior, 27, 1875-1883. https://doi.org/10.1016/j.chb.2011.04.011 [Google Scholar] [Crossref]
3. Cong, Y., Yang, L., & Ergün, A. L. P. (2024). Exploring the relationship between burnout, learning engagement and academic self-efficacy among EFL learners: A structural equation modeling analysis. Acta Psychologica, 248,104394. https://doi.org/10.1016/j.actpsy.2024.104394 [Google Scholar] [Crossref]
4. Fornell, C. and Bookstein. F.L. (1982) Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory. Journal of Marketing Research, 19(4), 440-452. https://www.jstor.org/stable/3151718 [Google Scholar] [Crossref]
5. Goodman, S.N. (1999). Toward evidence-based medical statistics: 2. The Bayes factor. Clinical Trials, 6(3), 229–24 Bayes Factors, 233-240. DOI: 10.7326/0003-4819-130-12-199906150-00019 [Google Scholar] [Crossref]
6. Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123. https://doi. org/ 10. 1504/ IJMDA. 2017.087624 [Google Scholar] [Crossref]
7. Hassan, O., Rahmat, N. H., Ismail, S., & Taib, N. A. M. (2021). Exploring Expectancy Theory as Motivation for Learning French as a Foreign Language Across Gender. European Journal of Foreign Language Teaching, 5(5). [Google Scholar] [Crossref]
8. Hauf, S., Rickter, N. F., Sarstedt, M., Ringle.,C. M. (2024). The Importance and Performance in PLS-SEM. Journal of Retailing and Consumer Services, 78(2024) (100723). https://epub.ub.uni-muenchen.de/109073/1/1- s2.0-S0969698924000195-main.pdf [Google Scholar] [Crossref]
9. Miller,G. (1956) The magical number seven, plus or minus two: Some Limits on our capacity for processing information.The Psychological Review, 63, 81-97. [Google Scholar] [Crossref]
10. Pintrich, P. R., & De Groot E. V. (1990). Motivational and self-regulated learning Components of classroom academic performance. Journal of Educational Psychology, 82(1), 33–40. Retrieved from https://psycnet.apa.org/doi/10.1037/0022-0663.82.1.33 [Google Scholar] [Crossref]
11. Ramayah, T., Cheah, F. Ting, H., & Memon, M.A. (2018). Partial Least Squares Structural Equation Modeling (PLS-SEM) using SEM 3.0: An Updated Guide and Practical Guide to Statistical Analysis. Kuala Lumpur, Malaysia: Pearson [Google Scholar] [Crossref]
12. Ringle, C. M., & Sarstedt, M. (2016). Using importance-performance matrix analysis (IPMA) in PLS-SEM: Using SmartPLS 3. Journal of Business Research, 69(8), 3169-3177. http://dx.doi.org/ 10.1108/IMDS-10-2015-0449 [Google Scholar] [Crossref]
13. Truong, V., Huynh, H. G., & Ho, H. V. (2025). Motivational Orientations of Learning English as a Foreign Language: A Survey at a Private University in Vietnam. Journal of Language Teaching and Research, 16(6), 1944–1954. https://doi.org/10.17507/jltr.1606.16 [Google Scholar] [Crossref]
14. Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81. [Google Scholar] [Crossref]
15. Yang, M., & Zhai, Y. (2022). Exploring the Relationship Between Conception of Language Learning and Foreign Language Learning Burnout. International Journal of Cognitive Informatics and Natural Intelligence, 16(1), 1–12. https://doi.org/10.4018/ijcini.309133 [Google Scholar] [Crossref]
16. Zheng S, Zhang J, Wang J and Shen R (2024) English language learning anxiety and academic burnout in Chinese freshmen: a chain mediating approach. Front. Psychol. 15:1340142. doi: 10.3389/fpsyg.2024.1340142 [Google Scholar] [Crossref]
17. Ziegenfuss, J. Y., Casey A. E., Jennifer M. D., Meghan M. J., Thomas E. K, and Marna, C. (2021) Impact of Demographic Survey Questions on Response Rate and Measurement: A Randomized Experiment. Survey Practice 14 (1), https://doi.org/10.29115/SP-2021-0010. [Google Scholar] [Crossref]
18. Zolkapli, R. B. M., Kenali, S. F. M., Hadi, N. F. A., Basiron, M. K., Iqbal, M., Latif, M. N. L. A., & Rahmat, N. H. (2023). Exploring Motivation and Demotivation Factors for Learning Communication Skills. International Journal of Academic Research in Business & Social Sciences, 13(7), 1501 – 1520. [Google Scholar] [Crossref]
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