VisualCodeMOOC: A course platform for algorithms and data structures integrating a conversational agent for enhanced learning through dynamic visualizations

The abstract nature of algorithms and data structures poses challenges for students, and the integration of visualization into comprehensive learning systems remains underexplored. This article presents VisualCodeMOOC, incorporating VisualCodeChat, a conversational agent that enhances algorithm and...

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Vydáno v:SoftwareX Ročník 30; s. 102072
Hlavní autoři: Li, Mingyuan, Wang, Duan, Purwanto, Erick, Selig, Thomas, Zhang, Qing, Liang, Hai-Ning
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.05.2025
Elsevier
Témata:
Algorithm visualization
Conversational agent
MOOC
Programming education
MOOC
Conversational agent
Programming education
Algorithm visualization
ISSN:2352-7110, 2352-7110
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Shrnutí:The abstract nature of algorithms and data structures poses challenges for students, and the integration of visualization into comprehensive learning systems remains underexplored. This article presents VisualCodeMOOC, incorporating VisualCodeChat, a conversational agent that enhances algorithm and data structure learning through dynamic visualizations and personalized feedback. The platform effectively addresses these challenges, improving student engagement and comprehension. With instructions structuring, novel response-based algorithm visualization, exercise design, VisualCodeMOOC provides a cohesive and supportive learning environment that promotes active learning. Evaluation results demonstrate its usability, responsiveness, and educational value, confirming its potential as a promising tool for advancing computer science education.
ISSN:2352-7110
2352-7110
DOI:10.1016/j.softx.2025.102072