E-Learning Service Quality Determinants in Public Universities, 2016-2025

A systematic review hierarchizes determinants of e-learning service quality predicting student satisfaction in public universities. The analysis synthesizes 15 empirical studies from 2016 to 2025, encompassing 9,847 students across 12 countries. Author Jorge Vinueza-Martínez published the review in June 2025.

Use Cases

• Prioritize e-learning investments based on the identified dominant predictor of perceived value.
• Benchmark institutional performance against the four-tier classification of effect sizes (Critical, High, Moderate, Low).
• Contextualize e-learning frameworks by accounting for the reported extreme geographic heterogeneity in factor importance.
• Design longitudinal studies to address the noted limitation of 100% cross-sectional data dominance.

Strengths

• Analysis is based on 15 peer-reviewed empirical studies selected via systematic search.
• Findings are stratified by standardized effect size (β coefficients), enabling quantitative comparison.
• The review includes a quality assessment of included studies using the MMAT 2018 tool (mean score: 3.67/5).
• Synthesis follows PRISMA 2020 and SWiM guidelines for methodological rigor.

Limitations

• The dataset is a 671.0 KB DOCX document; its scope is limited to a review summary without underlying raw data.
• Row count and column-level documentation are absent; field semantics must be inferred from the text.
• The review notes methodological limitations in the source studies, including 100% cross-sectional designs and 0% inclusion of socioeconomic status.

Provenance

Source

Author Jorge Vinueza-Martínez, published on figshare.

Collection Method

Systematic bibliographic search of Scopus and Web of Science, with purposive sampling based on predefined eligibility criteria.

Time Range

2016–2025

Freshness

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

Geography

12 countries worldwide (specific countries not listed).