Article 2025

Evaluating self-directed learning competencies in digital learning environments: A meta-analysis

Education and Information Technologies
Journal · Vol. 30 · Issue 6 · pp. 6847-6868
Abstract

During the digital age, self-directed learning has emerged as an effective teaching strategy in designing class activities within the educational sphere, prompting an investigation into its impact on the effectiveness of instruction in the K-12 context. This article presents a meta-analysis aimed at examining the efficacy of self-directed learning in enhancing the learning performance of K-12 students. A comprehensive review of English-language publications up to December 2023 was conducted, drawing from major databases such as Embase, Scopus, PubMed, CINAHL, and the Web of Science. This rigorous selection process resulted in the identification of 17 studies, encompassing a total of 2,725 students who met the exacting inclusion criteria. Analysis of the data, facilitated by the use of Comprehensive Meta Analysis software, demonstrated that self-directed learning significantly improves students’ learning outcomes when compared with traditional teaching methods. This improvement is quantitatively supported by a standardized mean difference of 0.366 (95% CI [0.295, 0.438], p <.000). The findings from this meta-analysis advocate for the adoption of self-directed learning as an integral pedagogical approach in K-12 education, highlighting its potent ability to substantially elevate learning performance. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

Keywords

Author Keywords

self-directed learning meta-analysis Learning outcome Learning competency

Index Keywords

Author Affiliations
Department of Information Management, Da-Yeh University, Dacun, Changhua, Taiwan
School of Nursing, Taipei Medical University, Taipei, Taiwan
Funding & Acknowledgements
National Science and Technology Council, NSTC
Grant: NSTC 113-2410-H-038-026-MY2, 112-2622-H-038-002
This research was funded by National Science and Technology Council of Taiwan, grant number NSTC 113-2410-H-038-026-MY2, NSTC 112-2622-H-038-002. The author would like to declare that there is no conflict of interest in this study.
National Science and Technology Council, NSTC
This research was funded by National Science and Technology Council of Taiwan, grant number NSTC 113-2410-H-038-026-MY2, NSTC 112-2622-H-038-002. The author would like to declare that there is no conflict of interest in this study.
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