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Purpose

This paper examines the determinants of e-learning efficiency (ELE) of university students in Vietnam.

Design/methodology/approach

This paper employs SmartPLS version 3.0 and the PLS-SEM to estimate the research model for the dataset of 718 observations collected through our survey done in 2023 based on the online course providing distribution of universities across three regions: north, central and south.

Findings

Our research results show that e-learning self-efficacy (ELSE) and e-learning monitoring (ELM) have a positive effect on the ELE through e-learning strategies (ELS). E-learning attitude (ELA) and e-learning willpower (ELWP) have an indirect influence on the ELE through e-learning motivation (ELMM). E-learning course content (ELCC), e-learning course design (ELCD) and e-learning social support (ELSS) play a positive role in ELE. ELSS has the moderating effect on ELE though ELS and ELMM.

Practical implications

The research results from this study provide necessary information and solutions for universities and students to improve the ELE.

Originality/value

This research expands the existing literature by adding ELCC, ELCD and ELSS to examine the ELE determinants. Investigating the moderating effect of ELSS on ELE is another contribution. This research also enriches the literature by providing solutions for universities and students to enhance their e-learning and teaching.

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