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Embedding self-explanation prompts to support learning via instructional video

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Abstract

Instructional videos have been widely used in online learning environments. Effective video learning requires self-regulation by learners, which can be facilitated by deliberate instructional design, such as through prompting. Grounded in the interactive, constructive, active, and passive (ICAP) framework, this study compared the effects of explanation prompts and explored how they affected the retention and transfer of learning. In an online experiment, 103 participants were randomly assigned to focused self-explanation, scaffolded self-explanation, and instructional explanation prompting conditions. The results indicated better retention performance from the scaffolded prompt than from the focused prompt. No differences were found in transfer performance across various forms of prompts. Regression analysis suggested that prior knowledge and cognitive load may have interacted with the effect of self-explanation prompts. Prior knowledge positively predicted transfer performance, and cognitive load negatively predicted transfer performance when focused or scaffolded prompts were implemented. Potential explanations concerning how self-explanation prompts affect learning were discussed.

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Data Availability

The datasets generated during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

We wish to thank the reviewers and editor for their insightful comments that helped improve the manuscript. We are deeply grateful to the participants who took part in the experiment. We also thank the research assistants for grading the tests and coding the explanation texts.

Funding

This work was supported by the National Natural Science Foundation of China [#61807011], the self-determined research funds of CCNU from the colleges’ basic research and operation of MOE [#CCNU19TD019], and Beijing Key Laboratory of Applied Experimental Psychology.

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Caixia Bai: Conceptualization, Methodology, Investigation; Jingying Yang: Data Curation, Writing - Original Draft, Writing - Review & Editing; Yun Tang: Formal analysis, Writing - Original Draft, Writing - Review & Editing. Caixia Bai and Jingying Yang contributed equally to this work and are listed in alphabetic order.

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Correspondence to Yun Tang.

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All procedures in this experiment were in accordance with the ethical principles of the Institutional Review Board of Central China Normal University.

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Bai, C., Yang, J. & Tang, Y. Embedding self-explanation prompts to support learning via instructional video. Instr Sci 50, 681–701 (2022). https://doi.org/10.1007/s11251-022-09587-4

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