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Autor/inn/enTao Xu; Yuan Liu; Yaru Jin; Yueyao Qu; Jie Bai; Wenlan Zhang; Yun Zhou
TitelFrom Recorded to AI-Generated Instructional Videos: A Comparison of Learning Performance and Experience
QuelleIn: British Journal of Educational Technology, 56 (2025) 4, S. 1463-1487Infoseite zur Zeitschrift
PDF als Volltext  Link als defekt meldenVerfügbarkeit 
ZusatzinformationORCID (Tao Xu)
ORCID (Yun Zhou)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0007-1013
DOI10.1111/bjet.13530
SchlagwörterForschungsbericht; Artificial Intelligence; Video Technology; Audiovisual Aids; Audiovisual Instruction; Instructional Effectiveness; English (Second Language); Second Language Instruction; Vocabulary; Foreign Countries; College Students; China
AbstractGenerative 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. (As Provided).
AnmerkungenWiley. 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
BegutachtungPeer reviewed
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2025/3/08
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