This paper examines a pedagogical innovation introduced for the Malaysian Politics (PAD270) course at University Technology MARA (UiTM) of Kelantan Branch, designed to address persistent challenges in student comprehension, engagement, and academic performance. Conventional teaching approaches were found to be increasingly inadequate in meeting the learning preferences of digitally oriented students, particularly due to fragmented access to course materials dispersed across multiple social media platforms. In response, the study developed a dual-platform instructional strategy comprising a Massive Open Online Course hosted on the UiTM platform and a mobile-friendly application known as Politic-box. A mixed-methods research design was employed, involving 100 diploma level students, combining quantitative performance analysis with qualitative feedback on user experience and learning effectiveness. The findings reveal a notable improvement in both cognitive understanding and academic outcomes, evidenced by a 10%–14% increase in the proportion of students achieving grades of B- and above across multiple semesters. Additionally, students reported enhanced engagement, improved self-directed learning, and greater clarity in understanding complex political concepts. Overall, this study highlights the effectiveness of digital-first pedagogical tools in transforming political science education.
Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2023). Technology acceptance model in education: A systematic review. Education and Information Technologies, 28(2), 2345–2376.
Almelhi, A. (2023). Instructional design models and digital learning effectiveness: A review of emerging frameworks. International Journal of Educational Technology in Higher Education, 20(1), 45–62.
Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2023). Digital transformation in higher education: Trends, challenges, and future directions. Computers & Education, 185.
Bozkurt, A., Jung, I., Xiao, J., Vladimirschi, V., Schuwer, R., Egorov, G., Lambert, S. R., Al-Freih, M., Pete, J., Olcott, D., Rodes, V., Aranciaga, I., Bali, M., Alvarez, A. V., Roberts, J., Pazurek, A., Raffaghelli, J. E., Panagiotou, N., de Coëtlogon, P., Paskevicius, M. (2022). A global outlook to the interruption of education due to COVID-19 pandemic: Navigating in a time of uncertainty and crisis. Educational Technology Research and Development, 70(1), 1–126.
Cheng, E. W. L., & Yuen, A. H. K. (2022). Student engagement and technology acceptance in e-learning environments: The role of perceived usefulness and ease of use. Computers in Human Behavior Reports, 6.
Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22.
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415.
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2022). The difference between emergency remote teaching and online learning. Online Learning Journal, 26(2), 6–15.
Kaplan, A. M., & Haenlein, M. (2016). Higher education and the digital revolution: About MOOCs, SPOCs, social media, and the Cookie Monster. Business Horizons, 59(4), 441–450.
Moore, M. G. (1973). Toward a theory of independent learning and teaching. Journal of Higher Education, 44(9), 661–679.
Paas, F., & van Merriënboer, J. J. G. (2022). Cognitive load theory: Methods to manage working memory load in the learning of complex tasks. Educational Psychology Review, 34(2), 625–645.
Theobald, E. J., Hill, M. J., Tran, E., Agrawal, S., Arroyo, E. N., Behling, S., Chambwe, N., Cintrón, D. L., Cooper, J. D., Dunster, G., Grummer, J. A., Hennessey, K., Hsiao, J., Iranon, N., Jones, L., Jordt, H., Keller, M., Lacey, M. E., Littlefield, C. E., … Freeman, S. (2022). Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math. Proceedings of the National Academy of Sciences, 119(8).
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
World Economic Forum. (2023). The future of jobs report 2023. World Economic Forum.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2023). Systematic review of research on MOOCs in higher education: Trends and future directions. International Review of Research in Open and Distributed Learning, 24(1), 1–28.
Abdullah, I. H. T., San, L. Y., Yusoff, N. A., & Yaakob, R. (2026). Digital Pedagogical Innovation in Malaysian Politics Education: A Mixed-Methods Study of MOOC and Politic-box Integration. International Journal of Academic Research in Progressive Education and Development, 15(2), 910–923.
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