ContextVis: Envision Contextual Learning and Interaction with Generative Models

March 19, 2024 Β· Declared Dead Β· πŸ› InteracciΓ³n

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Authors Bo Shui, Chufan Shi, Yujiu Yang, Xiaomei Nie arXiv ID 2403.12768 Category cs.HC: Human-Computer Interaction Citations 2 Venue InteracciΓ³n Last Checked 4 months ago
Abstract
ContextVis introduces a workflow by integrating generative models to create contextual learning materials. It aims to boost knowledge acquisition through the creation of resources with contextual cues. A case study on vocabulary learning demonstrates the effectiveness of generative models in developing educational resources that enrich language understanding and aid memory retention. The system combines an easy-to-use Dashboard for educators with an interactive Playground for learners, establishing a unified platform for content creation and interaction. Future work may expand to include a wider range of generative models, media formats, and customization features for educators.
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