Hyperdraw: a Hypergraph-Based Tool for Enhancing Content Design in Clinical Education
DOI:
https://doi.org/10.59343/yuyay.v5.n3.m8pdvn234Keywords:
hypergraph-based editor, knowledge representation, medical education, visual learning tools, educational software architectureAbstract
Medical knowledge is complex, multidimensional and widespread, hence, hardly represented by current resources and organizers. In this paper it is introduced HyperDraw a hypergraph editor designed to model these intricate connections through hyperedges, facilitating meaningful learning in medical education. Developed and evaluate an intuitive hypergraph editor for decomposing complex medical concepts into structured, visual representations aligned with meaningful learning theory and the Cone of Proximal Development (ZPD). HyperDraw was implemented using a modular architecture with GUI components (nodes, hyperedges, layout algorithms) that allows students and educators to model hypergraphs intuitively and functions for image exportation. Also, its easily modifiable architecture allows programmers to meet medical education needs. With this implementation it is expected that students will experience a significative learning by showing them relationships, patterns, and high order connections in simple and easily readable schemes they can comprehend at first sight. Hypergraph-based organizers significantly improve representation of medical knowledge complexity versus traditional methods. HyperDraw´s intuitive interface and extensible design position as a valuable resource for personalized medical education, promoting deeper understanding through relationship-oriented learning structures.
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