Determinants of Students’ Satisfaction in Online Distance Learning: A Multiple Linear Regression

Authors

  • Nurul Hafizah Azizan Kolej Pengajian Pengkomputeran Informatik dan Matematik, UiTM Cawangan Kelantan, Kampus Kota Bharu
  • Shamsunarnie Mohamed Zukri
  • Nor Hazreeni Hamzah
  • Nurul Bariyah Ibrahim
  • Nur Nur Safwati Ibrahim
  • Noor Zafarina Mohd Fauzi

DOI:

https://doi.org/10.24191/jmcs.v11i2.9588

Keywords:

Multiple linear regression, Satisfaction in online learning, student-content interaction, student-instructor interaction and student-student interaction

Abstract

This study aims to determine which factors (student-student interaction, student-content interaction, and student-instructor interaction) significantly influence students’ satisfaction in online distance learning. An online survey was conducted among students of Universiti Teknologi MARA Kelantan Branch, Kota Bharu Campus from semester 3 to semester 7. The data collected was analyzed by using multiple linear regression analysis. The findings reveal that student-student interaction, student-content interaction, and student-instructor interaction emerged as the significant factor that contributed to students’ satisfaction in online distance learning. The insights gained from this research can guide educators and institutions in enhancing their teaching strategies and course designs, ultimately leading to more engaging and effective learning experiences for students in both online distance learning and blended learning environments.

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Published

2025-12-02