SYSTEMATIC REVIEW article
Front. Comput. Sci.
Sec. Digital Education
This article is part of the Research TopicEnhancing Learning with Online Educational Videos in the Web 2.0 Era: Learner Engagement, Learning Processes and OutcomesView all 3 articles
A rapid review of using AI-generated instructional videos in higher education
Provisionally accepted
- Hanoi University of Science and Technology, Hai Bà Trưng District, Vietnam
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The emergence of generative artificial intelligence (AI) technologies such as Synthesia, HeyGen, Sora, and Veo has introduced a new form of instructional material in higher education: AI-generated instructional videos (AIGIVs). This study conducts a rapid review of 15 studies published since 2023 to investigate how AIGIVs are being produced and used in higher education, focusing on the technologies used, pedagogical applications, and associated benefits and risks. Thematic synthesis reveals four overarching themes: (1) modes and technologies of AI-based instructional video generation, (2) applying AIGIVs for instructional and reflective pedagogies, (3) benefits of integrating AIGIVs into education, and (4) risks and challenges of integrating AIGIVs into education. Based on these findings, the paper proposes a flow model that encapsulates the progression from the deployment of AI technologies in video production to their pedagogical applications and the resulting educational benefits/risks. Finally, the paper offers recommendations for educational practice and future research.
Keywords: Video-based learning, Artificial intelligence (AI), AI-generated instructional videos, AI-generated videos, higher education
Received: 09 Oct 2025; Accepted: 05 Dec 2025.
Copyright: © 2025 Hanh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Nguyen Van Hanh
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