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A Meta-analysis of the Impact of E-learning on Learner Learning Outcomes

Published: 21 September 2022 Publication History

Abstract

With the continuous promotion of education informatization, e-learning as a new type of learning method, more and more learners are obtaining diverse learning outcomes through this method. In order to examine the impact of e-learning on learners' learning outcomes, a meta-analytic research method was used to sort, analyze and evaluate 37 foreign studies on the impact of e-learning on learners' learning outcomes. The authors included 37 studies (37 effects) in the analysis yielding a sample size of N=12963 learners from 21 countries. The results show that e-learning positively impacts learners' learning outcomes (Q (37) =531.595, p < .001). The study found that the combined effect value of e-learning on learners' learning outcomes was 0.406, indicating that e-learning has a positive contribution to learners' learning outcomes and improves students' learning outcomes. Specifically, e-learning had a positive effect on learners' critical thinking, regulation, learning ability and academic achievement. However, the learning effectiveness of e-learning was influenced by moderating variables such as regional economic development, the contextual impact of the epidemic, and learners' education. Based on the results of the study, reflections are discussed on enhancing individual learners' learning styles and on the improvement of national education systems and policies.

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  • (2023)Gamification of the Graph Theory Course. Finding the Shortest Path by a Greedy AlgorithmNetworks and Systems in Cybernetics10.1007/978-3-031-35317-8_18(209-216)Online publication date: 15-Jul-2023

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  1. A Meta-analysis of the Impact of E-learning on Learner Learning Outcomes

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    cover image ACM Other conferences
    ICEBT '22: Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology
    June 2022
    130 pages
    ISBN:9781450397216
    DOI:10.1145/3549843
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 21 September 2022

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    Author Tags

    1. E-learning
    2. Empirical study
    3. Learning outcomes
    4. Meta-analysis
    5. Self-directed learning

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    • (2023)Gamification of the Graph Theory Course. Finding the Shortest Path by a Greedy AlgorithmNetworks and Systems in Cybernetics10.1007/978-3-031-35317-8_18(209-216)Online publication date: 15-Jul-2023

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