Student-generated videos as assessment tools to enhance learning outcomes in K-12 education: A systematic review
Li Hu 1 , Mi Song Kim 1 *
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1 Western University, London, ON, CANADA* Corresponding Author

Abstract

Grounded in active learning, this systematic review synthesizes research on the use of student-generated videos (SGVs) as assessment tools and their influence on learning outcomes in primary, secondary, and high school education. Guided by preferred reporting items for systematic reviews and meta-analyses, 14 peer-reviewed studies published between 2015 and 2024 were analyzed. Findings indicate that SGV assessments enhance learning outcomes, including digital literacy, critical thinking, collaborative problem-solving, and deeper conceptual understanding. Although it is unsurprising that SGVs enhance digital literacy and collaborative problem-solving, this study confirms that these benefits consistently occur across multiple K-12 levels and settings, demonstrating that SGV assessments can reliably support active learning in diverse contexts. Thematic analysis highlights factors influencing effectiveness, such as instructional strategies, scaffolding, self-efficacy, and educational level. Specifically, students with higher self-efficacy demonstrate greater engagement and performance in SGV assessments, while targeted instructional strategies enhance students’ confidence and capability in completing video-based assessment tasks. Additionally, SGV assessments foster transferable skills that extend beyond academic outcomes. Challenges, including technological barriers and varying levels of student self-regulation, are also identified. The study emphasizes the importance of tailored instructional design, explicit assessment criteria, and strategies to support self-efficacy in video-based assessments. Future research should explore longitudinal effects and investigate approaches that address diverse learner needs in digital assessment environments.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

Journal of Digital Educational Technology, Volume 6, Issue 1, April 2026, Article No: ep2609

https://doi.org/10.29333/jdet/18105

Publication date: 13 Mar 2026

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Article Downloads: 15

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