English

ContextVis: Envision Contextual Learning and Interaction with Generative Models

Human-Computer Interaction 2024-03-20 v1

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.

Keywords

Cite

@article{arxiv.2403.12768,
  title  = {ContextVis: Envision Contextual Learning and Interaction with Generative Models},
  author = {Bo Shui and Chufan Shi and Yujiu Yang and Xiaomei Nie},
  journal= {arXiv preprint arXiv:2403.12768},
  year   = {2024}
}

Comments

Accepted by HCII 2024

R2 v1 2026-06-28T15:25:48.759Z