Predictors of Students’ Satisfaction in Online Learning
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Date
2023
Authors
Gachigi, Priscilla Njoki
Ngunu, Susan
Okoth, Emily
Alulu, Lily
Journal Title
Journal ISSN
Volume Title
Publisher
IJRISS
Abstract
The entire globe is recovering from the Covid-19 pandemic. The pandemic resulted in the closure of all
learning institutions across the world leading to an emphasis of e- learning in order to keep the students
engaged and to mediate the effects of the pandemic on the education sector. This brought considerable
changes in the pedagogy of teaching and learning as conventional face-to-face classes were converted to
online learning. This paradigm shift saw significant changes in education with the use of e-learning where
learning took place remotely or through the use of various digital online platforms like zoom, Google meet,
Microsoft teams among others. This type of learning has benefits like added flexibility, better time
management, improved virtual communication etc. This shift could also have impacted on the students
learning. The aim of this study is to interrogate the predictors of students’ satisfaction in online learning.
The study was guided by the following objectives; to determine the relationship between course delivery
and student’s satisfaction, to establish the relationship between modes of assessments and students’
satisfaction, to assess the relationship between sense of belongingness and students’ satisfaction and to
evaluate the technological quality and students’ satisfaction. The study was grounded on the constructivism
theory of learning. The study adopted a correlational study design. The target population were university
students but the sample was specifically drawn from 2 private universities. The study sample was 400
students (200 males and 200 females). Data was collected using an online questionnaire. The data was
analyzed quantitatively using both descriptive and inferential statistics. Presentations were done through
graphs, tables and frequency distributions. The results indicated a statistically significant relationship (F =
72.618, Sig. < 0.05) between course delivery, modes of assessments, sense of belongingness and
technological quality and student satisfaction in higher education.
Description
Article
Keywords
Student satisfaction, Online learning, course delivery, modes of assessment, sense of belongingness, technological quality
Citation
Gachigi, P. N., Ngunu, S., Okoth, E., & Alulu, L. (2023). Predictors of Students' Satisfaction in Online Learning. International Journal of Research and Innovation in Social Science, 7(8), 1657-1669.