Predicting students’ E-retention in online learning during COVID pandemic: Evidence from the Students of Higher Education

Authors

  • Amna Masood Iqra University
  • Noman Ahsan Sindh Higher Education Commission, Karachi, Pakistan

DOI:

https://doi.org/10.62019/abbdm.v4i1.74

Keywords:

E-Retention, Online Learning, Covid-19, E-Satisfaction, Higher Education, Smart PLS

Abstract

Purpose

On account of prevalent crisis of COVID-19, the challenges of pandemic compelled students to pitch in the advanced and extensive environment of e-learning. Thence, the study of epidemic change in the satisfaction and online learning outcomes require absolute investigation to inquire e-retention among students of higher education institutions.

Design/methodology/approach

This study employed the PLS-SEM technique to analyze the research results through Smart PLS software. Additionally, data were collected from students of higher education through a questionnaire.

Findings

The findings of this research reflect that all factors i.e., Direct Instructions/Lecture, Instructor-Learner Interactions, Learner- Learner Interactions, Internet Self-Efficacy, Perceived Social Presence have a positive and significant impact on Online Learning Outcomes and Online Learning Satisfaction. In response, these factors positively and significantly affect E-retention.  

Originality/value

Higher education institutions and policymakers are the prime beneficiaries of this research paper. The paper makes a vital contribution to the literature by considering the role of online learning outcomes and online learning satisfaction for e-retention prediction in higher education, especially at the time of Covid-19.

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Published

2024-03-05

How to Cite

Masood, A., & Noman Ahsan. (2024). Predicting students’ E-retention in online learning during COVID pandemic: Evidence from the Students of Higher Education. The Asian Bulletin of Big Data Management, 4(1), 66–88. https://doi.org/10.62019/abbdm.v4i1.74