E-Learning Service Quality Determinants and Student Satisfaction in Public Universities

A 2025 systematic review synthesizes findings from 15 empirical studies published between 2016 and 2025, encompassing 9,847 students across 12 countries. The study, authored by Jorge Vinueza-Martínez and shared under a CC-BY-4.0 license, hierarchizes determinants of e-learning service quality predicting student satisfaction in public universities. It employs a quantitative synthesis of standardized regression coefficients (β) following PRISMA 2020 and SWiM guidelines.

Use Cases

• Prioritizing resource allocation for e-learning services based on the identified critical predictors like perceived value.
• Benchmarking institutional e-learning quality frameworks against the four-tier classification of determinants (Critical, High, Moderate, Low).
• Designing longitudinal or geographically diversified studies to address identified gaps like cross-sectional dominance and geographic heterogeneity.
• Contextualizing e-learning frameworks for public universities by considering local validation needs highlighted in the discussion.

Strengths

• Analysis is based on 15 peer-reviewed empirical studies with a defined quality assessment mean score of 3.67/5.
• Findings are derived from a sample of 9,847 students across 12 countries, providing a multi-national perspective.
• The review provides a clear, quantitative hierarchisation of predictors with specific effect size thresholds (e.g., β>0.40 for Critical tier).

Limitations

• The dataset is a 669.2 KB DOCX document; row count and column-level data are unknown, limiting direct analysis.
• The underlying studies are exclusively cross-sectional (100%), preventing causal or longitudinal insights.
• Key institutional quality dimensions were omitted in 80% of the synthesized studies, and socioeconomic status was not considered (0% inclusion).

Provenance

Source

figshare

Collection Method

Systematic bibliographic search of Scopus and Web of Science followed by quantitative synthesis of standardized regression coefficients.

Time Range

2016–2025

Freshness

Last updated 2026-05-12 05:42:14

Geography

12 countries worldwide (specific countries not listed)