ContextVis: Envision Contextual Learning and Interaction with Generative Models
<|reference_start|>ContextVis: Envision Contextual Learning and Interaction with Generative Models: 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.<|reference_end|>
@article{shui2024contextvis:,
    title={ContextVis: Envision Contextual Learning and Interaction with Generative
  Models},
    author={Bo Shui, Chufan Shi, Yujiu Yang, Xiaomei Nie},
    journal={arXiv preprint arXiv:2403.12768},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.12768},
    primaryClass={cs.HC}
}