ISSN: 2226-6348
Open access
The application of AI-generated videos in education has gained significant attention for its potential to enhance the learning experience by creating personalized, engaging, and adaptive learning content. Understanding the rationale and value of AI-generated videos in teaching and learning is essential, as it enables educators and learners to adapt to advancements in educational technology. There are many literature reviews on AI technology, focusing on the application of AI technology, while very few discusses on AI-generated instructional videos. This study conducts a systematic review of existing literature on AI-generated instructional videos to explore their role in higher education and examines the educational theories supporting the implementation. Data were collected from six databases resulting in 3271 articles using PRISMA method. This study found 21 relevant articles based on the selected keywords on AI-generated video instructional videos. From data analysis, AI-generated videos are found to play the role as auxiliary learning tools as well as learning assistance tool for the students. Additionally, these videos were found to apply educational theories during design and development process. Conclusively, this study establishes a reference framework for the use of AI-generated instructional video in education and identifies key directions for future research.
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