Generative AI for Learning: Investigating the Potential of Learning Videos with Synthetic Virtual Instructors
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GenAI could make high-quality learning resources more accessible globally.
“A preliminary study found no significant differences in learning gains and perceived experiences between GenAI-generated videos with synthetic instructors and traditional recorded instructor videos, suggesting that GenAI could make high-quality learning resources more accessible globally [31].”
From Promises and challenges of generative artificial intelligence for human learning (2024) · cites this paper as [31]
A preliminary study found no significant differences in learning gains and perceived experiences between GenAI-generated videos with synthetic instructors and traditional recorded instructor videos.
“A preliminary study found no significant differences in learning gains and perceived experiences between GenAI-generated videos with synthetic instructors and traditional recorded instructor videos, suggesting that GenAI could make high-quality learning resources more accessible globally [31].”
From Promises and challenges of generative artificial intelligence for human learning (2024) · cites this paper as [31]
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References 13 · Cited by 84
- Authors
- Leiker, D., Gyllen, A. R., Eldesouky, I., & Cukurova, M.
- Affiliations
- KIC InnoEnergy (Netherlands) (NL)
- University College London (GB)
- Corresponding author
- Leiker, Daniel
- Venue
- Communications in Computer and Information Science
- Publisher
- Springer Nature Switzerland
- Published
- 2023
- Pages
- 523-529
- ISSN
- 1865-0929 (ISSN-L)
- 1865-0937
- OpenAlex
- W4382567298
- Cited by
- 84
- References
- 13
- Citations by year
- 2026: 19 · 2025: 36 · 2024: 25 · 2023: 4
- FWCI
- 21.61
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Communications in computer and information science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- generative AI, microlearning, adult learners, online learning, instructional video production, learning outcomes
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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