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ERIC Number: EJ1473804
Record Type: Journal
Publication Date: 2025-Jul
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0007-1013
EISSN: EISSN-1467-8535
Available Date: 2024-10-28
From Recorded to AI-Generated Instructional Videos: A Comparison of Learning Performance and Experience
Tao Xu1; Yuan Liu1; Yaru Jin2; Yueyao Qu2; Jie Bai2; Wenlan Zhang2; Yun Zhou2
British Journal of Educational Technology, v56 n4 p1463-1487 2025
Generative AI (GAI) and AI-generated content (AIGC) have been increasingly involved in our work and daily life, providing a new learning experience for students. This study examines whether AI-generated instructional videos (AIIV) can facilitate learning as effectively as traditional recorded videos (RV). We propose an instructional video generation pipeline that includes customized GPT (Generative Pre-trained Transformer), text-to-speech and lip synthesis techniques to generate videos from slides and a clip or a photo of a human instructor. Seventy-six students were randomly assigned to learn English words using either AIIV or RV, with performance assessed by retention, transfer and subjective measures from cognitive, emotional, motivational and social perspectives. The findings indicate that the AIIV group performed as well as the RV group in facilitating learning, with AIIV showing higher retention but no significant differences in transfer. RV was found to offer a stronger sense of social presence. Although other subjective measures were similar between the two groups, AIIV was perceived as slightly less favourable. However, the AIIV was still found to be moderately to highly attractive, addressing concerns related to the uncanny valley effect. This research demonstrates that AIGC can be an effective tool for learning, offering valuable implications for the use of GAI in educational settings.
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China
Grant or Contract Numbers: N/A
Author Affiliations: 1School of Software, Northwestern Polytechnical University, Xi'an, P.R. China; 2Faculty of Education, Shaanxi Normal University, Xi'an, P.R. China