Review 2025

Active learning strategies in video learning: A meta-analysis

Educational Research Review
Journal · Vol. 48 · Art. 100708
Abstract

Active learning strategies embedded in video content have become increasingly prominent tools for enhancing learners' educational experiences. However, the literature offers varied results concerning their effectiveness. In this research, we conducted a series of meta-analyses to assess the influence of active learning strategies on learners' motivation, cognitive load, and learning performance. On the basis of our criteria, 46 articles were included, encompassing 54 studies comparing active strategies with passive video watching. Most of these studies (74 %) were conducted between 2019 and 2025 and focused primarily on adults (93 %) and STEM disciplines (75 %), with embedded questions being the most common strategy (46 %). The meta-analysis results revealed that active learning strategies had a significant positive effect on learning performance, including retention (k = 24, g = 0.33), comprehension (k = 33, g = 0.28) and transfer (k = 24, g = 0.43), and increased motivation (k = 8, g = 0.15) and cognitive load (k = 19, g = 0.19). Additionally, our moderator analysis revealed that learners’ characteristics (i.e., age) and video attributes (i.e., pace, setting) significantly influenced the outcomes associated with active learning strategies. This research, grounded in various theoretical frameworks, highlights the potential of active learning strategies to increase the efficiency and quality of video-based education. © 2025 Elsevier Ltd

Keywords

Author Keywords

Cognitive load Multimedia learning Active learning strategies Learning performance Video learning

Index Keywords

Author Affiliations
College of Education for the Future, Beijing Normal University, Beijing, China
Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China
Shaanxi Normal University, Xi'an, Shaanxi, China
Funding & Acknowledgements
National Natural Science Foundation of China, NNSF
Grant: 62177027, 62377035
This work was supported by the National Natural Science Foundation of China under Grant [ 62177027; 62377035], Guangdong Provincial Education Science Planning Project (Higher Education Special) under Grant [2024GXJK685] and Fundamental Research Funds for the Central Universities [24ZYYB003; GK202401007].
National Natural Science Foundation of China, NNSF
This work was supported by the National Natural Science Foundation of China under Grant [ 62177027; 62377035], Guangdong Provincial Education Science Planning Project (Higher Education Special) under Grant [2024GXJK685] and Fundamental Research Funds for the Central Universities [24ZYYB003; GK202401007].
Fundamental Research Funds for the Central Universities
Grant: 24ZYYB003, GK202401007
This work was supported by the National Natural Science Foundation of China under Grant [ 62177027; 62377035], Guangdong Provincial Education Science Planning Project (Higher Education Special) under Grant [2024GXJK685] and Fundamental Research Funds for the Central Universities [24ZYYB003; GK202401007].
Fundamental Research Funds for the Central Universities
This work was supported by the National Natural Science Foundation of China under Grant [ 62177027; 62377035], Guangdong Provincial Education Science Planning Project (Higher Education Special) under Grant [2024GXJK685] and Fundamental Research Funds for the Central Universities [24ZYYB003; GK202401007].
Grant: 2024GXJK685
This work was supported by the National Natural Science Foundation of China under Grant [ 62177027; 62377035], Guangdong Provincial Education Science Planning Project (Higher Education Special) under Grant [2024GXJK685] and Fundamental Research Funds for the Central Universities [24ZYYB003; GK202401007].
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