The Role of Learning Environment, Instructor Feedback, and Class Size on Students’ Engagement in Online

Mohd Azry Abdul Malik, Nur Liezda Batrisyia Mat Zali, Nurul Aleeya Safeyyah Aminudin, Farah Wahida Jusoh, Muhammad Haikal Mohd Fauzi, Nur Alifah Ahmad Yusrizal, Mohd Rahimi Md Noor, Jasrul Nizam Ghazali and Mohamad Norzamani Sahroni
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Mohd Azry Abdul Malik: Faculty of Computer & Mathematical Science, University Technology MARA Kelantan, Malaysia
Nur Liezda Batrisyia Mat Zali: Faculty of Computer & Mathematical Science, University Technology MARA Kelantan, Malaysia
Nurul Aleeya Safeyyah Aminudin: Faculty of Computer & Mathematical Science, University Technology MARA Kelantan, Malaysia
Farah Wahida Jusoh: Faculty of Computer & Mathematical Science, University Technology MARA Kelantan, Malaysia
Muhammad Haikal Mohd Fauzi: Faculty of Computer & Mathematical Science, University Technology MARA Kelantan, Malaysia
Nur Alifah Ahmad Yusrizal: Faculty of Computer & Mathematical Science, University Technology MARA Kelantan, Malaysia
Mohd Rahimi Md Noor: Faculty of Computer & Mathematical Science, University Technology MARA Kelantan, Malaysia
Jasrul Nizam Ghazali: Faculty of Computer & Mathematical Science, University Technology MARA Kelantan, Malaysia
Mohamad Norzamani Sahroni: Faculty of Computer & Mathematical Science, University Technology MARA Kelantan, Malaysia

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 3s, 6399-6405

Abstract: Student engagement in online learning is influenced by well-structured environments that facilitate collaboration, resource accessibility, and meaningful interactions with peers and instructors. Engagement encompasses emotional, cognitive, and behavioural aspects, all of which contribute to student motivation and academic success. This study examines the impact of the learning environment, instructor feedback, and class size on student engagement in online learning. A self-administered questionnaire was utilized, targeting students from the Diploma in Mathematical Sciences program at UiTM Kelantan selected through a simple random sampling method. Multiple Linear Regression analysis was employed to evaluate the data. The results indicate that only instructor feedback (β=0.568) has a statistically significant effect (p-value

Date: 2025
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