Regression Analysis for Analyzing Students’ Engagement in Mathematics at Higher Education Institution

This study investigates the influence of cognitive, affective and behavioral factors, as well as learning approach on higher education students’ engagement in mathematics courses. The research was conducted with the involvement of all students enrolled in the Business Mathematics course at Universiti Teknologi MARA Cawangan Terengganu. A total of 342 students participated in the survey, comprising 200 females and 142 male students. Correlation and multiple regression analysis were used to examine the relationships between the study variables and student engagement in mathematics learning. The correlation analysis revealed significant positive relationships between student engagement in mathematics and all examined variables with behavioral aspects demonstrate the highest correlation with student engagement in mathematics learning. However, regression analysis indicates that the affective aspect is the most important factor that influences their engagement in Mathematics followed by behavioral, cognitive and learning approaches. These findings suggest that although observable learning behaviors are strongly associated with engagement, students’ emotional factors play a more central role in sustaining engagement in mathematics learning. Hence, universities play a critical role to cultivate a conducive learning environment that supports students' mental well-being as this not only encourages pleasant emotional experiences but also increases engagement which leads to greater academic achievement throughout their studies.

Engagement, Cognitive, Affective, Behavioral, Learning Approach

1. Alpaslan, M. M., & Ulubey, Ö. (2021). Examining the relations between emotions, motivation, classroom engagement, and achievement in mathematics. International Journal of Research in Education and Science, 7(4), 1042–1057. [Google Scholar] [Crossref]

2. Amiruddin, N. S. H., Ahmad, N., & Mamat, S. S. (2022). Exploring students’ self-efficacy and anxiety towards mathematics problem solving during Open and Distance Learning (ODL). Mathematical Sciences and Informatics Journal, 3(1), 39–55. [Google Scholar] [Crossref]

3. Azizan, N. H., Hamzah, N. H., Zukri, S. M., Ibrahim, N. B., Ibrahim, N. N. S., Mohd Fauzi, N. Z., & Abdullah, N. (2023). The influence of mathematics self-efficacy and mathematics anxiety on students’ intrinsic motivation in learning mathematics-related subjects. Journal of Mathematics and Computing Science, 9(2). [Google Scholar] [Crossref]

4. Bougie, R., & Sekaran, U. (2019). Research methods for business: A skill building approach. John wiley & sons. [Google Scholar] [Crossref]

5. Betrice, J., Teoh, S.-H., & Low, M.-P. (2022). Undergraduates' motivation and engagement in an online learning (OL) mathematics class at a public university. International Journal of Academic Research in Progressive Education and Development, 11(4), 338–351. [Google Scholar] [Crossref]

6. Che Mat, R., & Mat Zin, S. (2021). Gamification approach to enhance students’ engagement in online distance learning (ODL) classes. International Journal of e-Learning and Higher Education, 16(1), 4–21. Cano, F., & Berbén, A. B. G. (2009). University students' achievement goals and approaches to learning in mathematics. British Journal of Educational Psychology, 79(1), 131-153. [Google Scholar] [Crossref]

7. Çağırgan, D., & Soytürk, İ. (2021). The relationship between math anxiety, student engagement in mathematics and responsibilities towards learning among middle school students. Ilkogretim Online, 20(1). [Google Scholar] [Crossref]

8. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage publications. [Google Scholar] [Crossref]

9. Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School Engagement: Potential of the Concept, State of the Evidence. Review of Educational Research, 74(1), 59-109. [Google Scholar] [Crossref]

10. Gogtay, N. J., & Thatte, U. M. (2017). Principles of correlation analysis. Journal of the Association of Physicians of India, 65(3), 78-81. [Google Scholar] [Crossref]

11. Leinwand, S., Brahier, D. J., Huinker, D., Berry, R. Q., Dillon, F. L., Larson, M. R., Leiva, M. A., Martin, W. G., & Smith, M. S. (2014). Principles to actions: Ensuring mathematical success for all. NCTM, National Council of Teachers of Mathematics. [Google Scholar] [Crossref]

12. Joshi, D. R., Adhikari, K. P., Khanal, B., Khadka, J., & Belbase, S. (2022). Behavioral, cognitive, emotional, and social engagement in mathematics learning during the COVID-19 pandemic. PLOS ONE, 17(11), e0278052. https://doi.org/10.1371/journal.pone.0278052 [Google Scholar] [Crossref]

13. Lijie, Z., Zongzhao, M., & Ying, Z. (2020). The influence of mathematics attitude on academic achievement: Intermediary role of mathematics learning engagement. Jurnal Cendekia, 4(2), 460-467. [Google Scholar] [Crossref]

14. Lin, W., Yin, H., Han, J., & Han, J. (2020). Teacher–student interaction and Chinese students’ mathematics learning outcomes: The mediation of mathematics achievement emotions. International journal of environmental research and public health, 17(13), 4742. [Google Scholar] [Crossref]

15. Lo, C. K., & Hew, K. F. (2021). Student engagement in mathematics flipped classrooms: Implications of journal publications from 2011 to 2020. Frontiers in Psychology, 12, 672610. https://doi.org/10.3389/fpsyg.2021.672610 [Google Scholar] [Crossref]

16. Maamin, M., Maat, S. M., & H. Iksan, Z. (2022). The Influence of Student Engagement on Mathematical Achievement among Secondary School Students. Mathematics, 10(1), 41. [Google Scholar] [Crossref]

17. Muda@Yusof, N., Abdul Karim, Z., A. Rashid, R., & Mohamed, Z. (2019). Factors affecting students’ achievement in mathematics: Case study in Terengganu. Jurnal Intelek, 14(2), 198–207. [Google Scholar] [Crossref]

18. Moenikia, M., & Zahed-Babelan, A. (2010). A study of simple and multiple relations between mathematics attitude, academic motivation and intelligence quotient with mathematics achievement. Procedia-Social and Behavioral Sciences, 2(2), 1537-1542. [Google Scholar] [Crossref]

19. Nayir, K. F. (2015). The relationship between students’ engagement level and their attitudes toward school. The Anthropologist, 20(1-2), 50-61. [Google Scholar] [Crossref]

20. Önal, N. (2017). Use of Interactive Whiteboard in the Mathematics Classroom: Students' Perceptions within the Framework of the Technology Acceptance Model. International Journal of Instruction, 10(4), 67-86. [Google Scholar] [Crossref]

21. Pei, Y., Poon, K. K., & Suen, A. (2025). Influence of mathematics anxiety on mathematics performance: Mediating effects of mathematical engagement. Mathematics Education Research Journal. Advance online publication. https://doi.org/10.1007/s13394-025-00536-1 [Google Scholar] [Crossref]

22. Singh, K., Granville, M., & Dika, S. (2002). Mathematics and science achievement: Effects of motivation, interest, and academic engagement. The journal of educational research, 95(6), 323-332. [Google Scholar] [Crossref]

23. Tranmer, M., & Elliot, M. (2008). Multiple linear regression. The Cathie Marsh Centre for Census and Survey Research (CCSR), 5(5), 1-5. [Google Scholar] [Crossref]

24. Zhang, J., Ho, L., & Lee, M. (2021). Math anxiety and its impact on students' academic performance: A meta-analytic study. Psychology of Education Review, 45(4), 214–232. [Google Scholar] [Crossref]

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