HyperMOOC: Augmenting MOOC Videos with Concept-based Embedded Visualizations

September 10, 2025 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Li Ye, Lei Wang, Lihong Cai, Ruiqi Yu, Yong Wang, Yigang Wang, Wei Chen, Zhiguang Zhou arXiv ID 2509.08404 Category cs.HC: Human-Computer Interaction Citations 0 Venue arXiv.org Last Checked 4 months ago
Abstract
Massive Open Online Courses (MOOCs) have become increasingly popular worldwide. However, learners primarily rely on watching videos, easily losing knowledge context and reducing learning effectiveness. We propose HyperMOOC, a novel approach augmenting MOOC videos with concept-based embedded visualizations to help learners maintain knowledge context. Informed by expert interviews and literature review, HyperMOOC employs multi-glyph designs for different knowledge types and multi-stage interactions for deeper understanding. Using a timeline-based radial visualization, learners can grasp cognitive paths of concepts and navigate courses through hyperlink-based interactions. We evaluated HyperMOOC through a user study with 36 MOOC learners and interviews with two instructors. Results demonstrate that HyperMOOC enhances learners' learning effect and efficiency on MOOCs, with participants showing higher satisfaction and improved course understanding compared to traditional video-based learning approaches.
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