VIVID: Human-AI Collaborative Authoring of Vicarious Dialogues from Lecture Videos
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866913308243656704 |
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| author | Choi, Seulgi Lee, Hyewon Lee, Yoonjoo Kim, Juho |
| author_facet | Choi, Seulgi Lee, Hyewon Lee, Yoonjoo Kim, Juho |
| contents | The lengthy monologue-style online lectures cause learners to lose engagement easily. Designing lectures in a "vicarious dialogue" format can foster learners' cognitive activities more than monologue-style. However, designing online lectures in a dialogue style catered to the diverse needs of learners is laborious for instructors. We conducted a design workshop with eight educational experts and seven instructors to present key guidelines and the potential use of large language models (LLM) to transform a monologue lecture script into pedagogically meaningful dialogue. Applying these design guidelines, we created VIVID which allows instructors to collaborate with LLMs to design, evaluate, and modify pedagogical dialogues. In a within-subjects study with instructors (N=12), we show that VIVID helped instructors select and revise dialogues efficiently, thereby supporting the authoring of quality dialogues. Our findings demonstrate the potential of LLMs to assist instructors with creating high-quality educational dialogues across various learning stages. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_09168 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | VIVID: Human-AI Collaborative Authoring of Vicarious Dialogues from Lecture Videos Choi, Seulgi Lee, Hyewon Lee, Yoonjoo Kim, Juho Human-Computer Interaction The lengthy monologue-style online lectures cause learners to lose engagement easily. Designing lectures in a "vicarious dialogue" format can foster learners' cognitive activities more than monologue-style. However, designing online lectures in a dialogue style catered to the diverse needs of learners is laborious for instructors. We conducted a design workshop with eight educational experts and seven instructors to present key guidelines and the potential use of large language models (LLM) to transform a monologue lecture script into pedagogically meaningful dialogue. Applying these design guidelines, we created VIVID which allows instructors to collaborate with LLMs to design, evaluate, and modify pedagogical dialogues. In a within-subjects study with instructors (N=12), we show that VIVID helped instructors select and revise dialogues efficiently, thereby supporting the authoring of quality dialogues. Our findings demonstrate the potential of LLMs to assist instructors with creating high-quality educational dialogues across various learning stages. |
| title | VIVID: Human-AI Collaborative Authoring of Vicarious Dialogues from Lecture Videos |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2403.09168 |