This study aims to determine the mediation effect of self-regulation in the relationship between attention span and motivation in online learning among undergraduate students in the Faculty of Human Ecology, Universiti Putra Malaysia during the COVID-19 pandemic. By using a stratified random sampling method, 235 respondents from the faculty were surveyed. The result showed that attention and motivation are correlated positively at a highly significant level (? = 0.758, p < 0.01). The relationship between attention and self-regulation and the relationship between self-regulation and motivation also show positive correlations, respectively, with the value of ? = 0.830, p < 0.01, and ? = 0.700, p < 0.01. Causal step and Sobel test, simultaneously multiple regression analysis were used to analyze the effect of the mediator variable on the relationship between the dependent and independent variables. The results show that self-regulation has a significant mediator effect (value Z = 9.697). This study concludes that undergraduate students' level of attention and motivation is essential in online learning. At the same time, self-regulation is important to increase students’ concentration in online lectures and indirectly increase their interest in learning.
Adnan, M. A. M., & Yusoff, M. A. (2009). Motivasi, pembelajaran pengaturan kendiri dan prestasi akademik: Satu kajian di kalangan pelajar asasi pengajian Islam Universiti Malaya Nilam Puri. Journal Of Al-Tamaddun, 4(1), 1-16.
Adnan, M., & Anwar, Kainat. (2020). Online learning amid the COVID-19 pandemic: Students’ perspectives. Journal of Pedagogical Sociology and Psychology, 2(1), 45-51.
Balan, A. K., & Montemayor, T. A. (2020). The influence of online learning towards the attention span and motivation of college students [Unpublished undergraduate research]. Mapua University.
Bandura, A. (2002). Social Cognitive Theory: An agentic Perspective. Asian Journal of Social Psychology, 2(1), 21-41.
Baron, R. M. & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.
Barton, B. A., Adams, K. S., Browne, B. L., & Arrastia-Chisholm, M. C. (2021). The effects of social media usage on attention, motivation, and academic performance. Active Learning In Higher Education, 22(1), 11-22.
Chiou, C. Y. (2015). Motivation and self-regulation as predictors of e-learning experience among undergraduates in a Malaysian public university. [Unpublished masters dissertation]. Universiti Putra Malaysia.
Cicekci, M. A., & Sadik, F. (2019). Teachers’ and Students’ Opinions About Students’ Attention Problems During the Lesson. Journal of Education and Learning, 8(6), 15. https://doi.org/10.5539/jel.v8n6p15
Crow, L. D. & Elias, H. (1983). Psikologi pendidikan untuk perguruan. Dewan Bahasa dan Pustaka.
Deng, Q., & Wu, Z. (2018b). Students’ Attention Assessment in eLearning based on Machine Learning. IOP Conference Series: Earth and Environmental Science, 199(3). https://doi.org/10.1088/1755-1315/199/3/032042
Dhawan, S. (2020). Online Learning: A Panacea in the Time of COVID-19 Crisis. Journal of Educational Technology Systems, 49(1), 5–
22. https://doi.org/10.1177/0047239520934018
Fauzi, I., & Khusuma, I. H. S. (2020) Teachers’ elementary school in online learning of COVID-19 pandamic conditions. Jurnal Iqra’: Kajian Ilmu Pendidikan, 5(1), 58-70. https://doi.org/10.25217/ji.v5i1.914
Hartnett, M. (2012). Relationships between online motivation, participation, and achievement: More complex than you might think. Journal of Open, Flexible and Distance Learning, 16(1), 28-41.
Hashemyolia, S. (2015). Relationships between PutraLMS successful factors, motivation to learn, and selfregulated learning strategies among undergraduate students in a Malaysian public university [Unpublished doctoral dissertation]. Universiti Putra Malaysia.
Horvath, J. C., Lodge, J. M., & Hattie, J. (Eds.) (2017). From the laboratory to the classroom: Translating science of learning for teachers. Routledge.
Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of Instructional Development, 10(2), 2-10.
Keller, J. M. (2009). Motivational design for learning and performance: The ARCS model approach. Springer Science & Business Media.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607-610.
Microsoft. (2015). Attention span. Consumer Insights.
Nambiar, D. (2020). The impact of online learning during COVID-19: Students’ and teachers’ perspective. The International Journal of Indian Psychology, 8(2), 783-793.
Ning, H. K., & Downing, K. (2012). Influence of student learning experience on academic performance: The mediator and moderator effects of self-regulation and motivation. British Educational Research Journal, 38(2), 219-237.
Peck, L., Stefaniak, J. E., & Shah, S. J. (2018). The correlation of self-regulation and motivation with retention and attrition in distance education. Quarterly Review Of Distance Education, 19(3), 1-15.
Pintrich, P. R. (2000). The role of goal orientation in self- regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation. Academic Press, pp. 451–502.
Redzuan, F., Lokman, A. M., & Othman, Z. A. (2014). Kansei semantic space for emotion in online learning. 2014 3rd International Conference On User Science And Engineering (i-USEr), pp. 168-173.
Susanna, Herliana, F., Elisa, Farhan, A., Rizal, S., & Musdar. (2021). The effect of self-regulation and motivation to outcomes learning using blended learning approach. Turkish Journal of Computer and Mathematic Education, 12(6), 4226-4233.
Taura, A. A. (2014). Antecedent and consequences of active procrastination and mediation effect of self-regulation strategies among pre-service teachers in colleges of education In Nigeria. [Unpublished doctoral dissertation]. Universiti Putra Malaysia.
Vallerand, R. J., & Ratelle, C. F. (2002). Intrinsic and extrinsic motivation: A hierarchical model. In E. L. Deci & R. M. Ryan (Eds.), Handbook of self-determination research (pp. 37–63). University of Rochester Press.
Vallerand, R. J., Pelletier, L. G., & Vallieres, E. F. (1992). The Academic Motivation Scale: A measure of intrinsic and extrinsic and amotivation in motivation. Educational And Psychological Measurement, 52 (4), 1003-1017.
Wang, M., & Li, G. (2022). A meta-analysis of MOOC-based academic achievement, engagement, motivation, and self-regulation during the COVID-19 pandemic. International Journal of e-Collaboration, 18(1), 1-17.
Wei, F. Y. F., Wang, Y. K., & Klausner, M. (2012). Rethinking college students' self-regulation and sustained attention: Does text messaging during class influence cognitive learning? Communication Education, 61(3), 185-204.
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64-70.
In-Text Citation: (Yusof & Fee, 2022)
To Cite this Article: Yusof, F. H., & Fee, L. Y. (2022). Mediation Effect of Self-Regulation in Relationship between Attention Span and Motivation in Online Learning during COVID-19 Pandemic among Undergraduate Students in The Faculty of Human Ecology, Universiti Putra Malaysia. International Journal of Academic Research in Business and Social Sciences, 12(12), 2019– 2029.
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