Generative Lecture: Making Lecture Videos Interactive with LLMs and AI Clone Instructors
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915697844551680 |
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| author | Jo, Hye-Young Zhao, Ada Yi Liu, Xiaoan Suzuki, Ryo |
| author_facet | Jo, Hye-Young Zhao, Ada Yi Liu, Xiaoan Suzuki, Ryo |
| contents | We introduce Generative Lecture, a concept that makes existing lecture videos interactive through generative AI and AI clone instructors. By leveraging interactive avatars powered by HeyGen, ElevenLabs, and GPT-5, we embed an AI instructor into the video and augment the video content in response to students' questions. This allows students to personalize the lecture material, directly ask questions in the video, and receive tailored explanations generated and delivered by the AI-cloned instructor. From a design elicitation study (N=8), we identified four goals that guided the development of eight system features: 1) on-demand clarification, 2) enhanced visuals, 3) interactive example, 4) personalized explanation, 5) adaptive quiz, 6) study summary, 7) automatic highlight, and 8) adaptive break. We then conducted a user study (N=12) to evaluate the usability and effectiveness of the system and collected expert feedback (N=5). The results suggest that our system enables effective two-way communication and supports personalized learning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_21796 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Generative Lecture: Making Lecture Videos Interactive with LLMs and AI Clone Instructors Jo, Hye-Young Zhao, Ada Yi Liu, Xiaoan Suzuki, Ryo Human-Computer Interaction We introduce Generative Lecture, a concept that makes existing lecture videos interactive through generative AI and AI clone instructors. By leveraging interactive avatars powered by HeyGen, ElevenLabs, and GPT-5, we embed an AI instructor into the video and augment the video content in response to students' questions. This allows students to personalize the lecture material, directly ask questions in the video, and receive tailored explanations generated and delivered by the AI-cloned instructor. From a design elicitation study (N=8), we identified four goals that guided the development of eight system features: 1) on-demand clarification, 2) enhanced visuals, 3) interactive example, 4) personalized explanation, 5) adaptive quiz, 6) study summary, 7) automatic highlight, and 8) adaptive break. We then conducted a user study (N=12) to evaluate the usability and effectiveness of the system and collected expert feedback (N=5). The results suggest that our system enables effective two-way communication and supports personalized learning. |
| title | Generative Lecture: Making Lecture Videos Interactive with LLMs and AI Clone Instructors |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2512.21796 |