Motivating Students to Learn Mathematics in the iGrowMaths Classroom: An Innovative Adaptive Classroom in Business Mathematics Education
Abstract
The COVID-19 pandemic has exacerbated the inequalities in educational attainment and achievement, especially for students from disadvantaged socio-economic backgrounds. The teaching and learning process has become more complex as students are increasingly diverse in terms of prior knowledge and learning pace. Hence, this study proposes and designs the iGrowMaths Classroom, an innovative adaptive learning classroom for Business Mathematics course at a public polytechnic in Malaysia. The purpose is to create an adaptive learning environment that builds on the level of prior knowledge and learning pace in order to promote motivation and improve achievements in mathematics. The case study design was employed to investigate the effectiveness of iGrowMaths Classroom, with the adoption of a triangulation method that involved questionnaires, interviews, and formative assessment. The findings reveal that the iGrowMaths classroom is effective in fostering the students’ motivation towards learning mathematics and thereby enhancing the learning outcomes.
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Arthur, Y. D., Dogbe, C. S. K., & Asiedu-Addo, S. K. (2022). Enhancing Performance in Mathematics Through Motivation, Peer Assisted Learning, and Teaching Quality: The Mediating Role of Student Interest. EURASIA Journal of Mathematics, Science and Technology Education, 18(2), em2072.
Bruhwiler, C., & Vogt, F. (2020). Adaptive Teaching Competency. Effects on Quality of Instruction and Learning Outcomes. J. Educ. Res., 12, 119–142.
Capuano, N. & Caballe, S. (2020). Adaptive Learning Technologies. AI Mag., 2, 96–98.
Cavanagh, T., Chen, B., Lahcen, R. A., & Paradiso, J. (2020). Constructing A Design Framework and Pedagogical Approach for Adaptive Learning in Higher Education: A Practitioner's Perspective. The International Review of Research in Open and Distributed Learning, 21(1), 172–196.
Creswell, J.W. (2014), Research Design: Qualitative, Quantitative and Mixed Methods Approaches, 4th ed., Sage Publication, Los Angeles.
Denzin, N.K. & Lincoln, Y.S. (2018). Introduction: The Discipline and Practice of Qualitative Research, in Denzin, N.K. and Lincoln, Y.S. (Eds), The SAGE Handbook of Qualitative Research, 5th ed., SAGE Publication, 1-1694.
Dziuban, C., Howlin, C., Moskal, P., Johnson, C., Parker, L., & Campbell, M. (2018). Adaptive Learning: A Stabilizing Influence Across Disciplines and Universities. Online Learning, 22(3).
Elmabaredy, A., Elkholy, E., & Tolba, A.A. (2020). Web-Based Adaptive Presentation Techniques to Enhance Learning Outcomes in Higher Education. Research and Practice in Technology Enhanced Learning, 15(1).
Fiorella, L., Yoon, S.Y., Atit, K., Power, J.R., Panther, G., Sorby, S., Uttal, D.H. & Veurink, N. (2021). Validation of the Mathematics Motivation Questionnaire (MMQ) for Secondary School Students. International Journal of STEM Education, 8:52.
Gallagher, M.A., Parsons, S.A., & Vaughn, M. (2022). Adaptive Teaching in Mathematics: A Review Of The Literature, Educational Review, 74(2), 298-320.
Habibullah, Durahim, Y., Pamungkas, T., Haryundari, M.L.I., Rusnila. (2022). The Effect of Motivation on Students’s Mathematics Learning Outcomes in the New Normal Era. Jambura J. Math. Educ., 3(2), 63-69.
Habok, A., Magyar, A., Nemeth, M. B., & Csapo, B. (2020). Motivation and Self-Related Beliefs as Predictors of Academic Achievement in Reading and Mathematics: Structural Equation Models of Longitudinal Data. International Journal of Educational Research, 103, 101634.
Iterbeke, K., De Witte, K., & Schelfhout, W. (2021). The Effects of Computerassisted Adaptive Instruction and Elaborated Feedback on Learning Outcomes: A Randomized Control Trial. Comp. Hum. Behav. 120:106666.
Li, L., Liu, Y., Peng, Z., Liao, M., Lu, L., Liao, H., & Li, H. (2020). Peer Relationships, Motivation, Self-Efficacy, and Science Literacy in Ethnic Minority Adolescents in China: A Moderated Mediation Model. Children and Youth Services Review, 119.
Morze, N., Varchenko-Trotsenko, L., Terletska, T., & Smyrnova-Trybulska, E. (2021). Implementation of Adaptive Learning at Higher Education Institutions by Means of Moodle LMS. Journal of Physics: Conference Series, 1840(1), 012062.
Peng, H.C., Ma, S.S., & Spector, J.M. (2019). Personalized Adaptive Learning: An Emerging Pedagogical Approach Enabled by A Smart Learning Environment. Smart Learning Environments 6:9.
Pitsia, V., Biggart, A., & Karakolidis, A. (2017). The Role of Students’ Self-Beliefs, Motivation and Attitudes in Predicting Performance In Mathematics: A Multilevel Analysis Of The Programme For International Student Assessment Data. Learning and Individual Differences, 55, 163-173.
Saadati, F., & Celis, S. (2023). Student Motivation in Learning Mathematics in Technical and Vocational Higher Education: Development of An Instrument. International Journal of Education in Mathematics, Science, and Technology, 11(1), 156-178.
Sidney, P. G., & Alibali, M. W. (2015). Making Connections in Math: Activating A Prior Knowledge Analogue Matters for Learning. Journal of Cognition and Development, 16(1), 160– 185.
Smit, R. & Humpert, W. (2012). Differentiated Instruction in Small Schools. Teaching and Teacher Education, 28(8), 1152-1162.
Solehuddin, M., Sopandi, E., Saputra, D.G., Dhaniswara, E., Yulianto, S., Wei, Z., & Xu, S.S. (2023). Development of Adaptive E-Learning Content to Increase Learning Effectiveness. Journal International Inspire Education Technology (JIIET), 2(2),87-98.
UNESCO. International Forum on AI and the Futures of Education, Developing Competencies for the AI Era, 7–8 December 2020: Synthesis Report Synthesis Report.
Wang, S., Christensen, C., Cui, W., Tong, R., Yarnall, L., & Shear, L. (2020). When Adaptive Learning Is Effective Learning: Comparison of An Adaptive Learning System to Teacher-Led Instruction. Interact. Learn. Environ.
Yang, C., Luo, L., Vadillo, M. A., Yu, R., & Shanks, D. R. (2021). Testing (Quizzing) Boosts Classroom Learning: A Systematic and Meta-Analytic Review. Psychological Bulletin, 147(4), 399–435.
Yeh, C.Y.C., Cheng, H.N.H., Chen, Z.H., Liao, C.C.Y. & Chan, T.W. (2019). Enhancing Achievement and Interest in Mathematics Learning Through Math-Island. Research and Practice in Technology Enhanced Learning, 14(5), 1-19.
Published
2023-12-31
How to Cite
TEO PIAW, Lewis Liew; UNYAN EMBUL, Helen; ABU, Siti Nurfaizah.
Motivating Students to Learn Mathematics in the iGrowMaths Classroom: An Innovative Adaptive Classroom in Business Mathematics Education.
International Journal of Advanced Research in Education and Society, [S.l.], v. 5, n. 4, p. 241-249, dec. 2023.
ISSN 2682-8138.
Available at: <https://myjms.mohe.gov.my/index.php/ijares/article/view/25275>. Date accessed: 26 mar. 2025.
Section
English Section
