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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Bibliographic Details
Published in:SoftwareX Vol. 30; p. 102072
Main Authors: Li, Mingyuan, Wang, Duan, Purwanto, Erick, Selig, Thomas, Zhang, Qing, Liang, Hai-Ning
Format: Journal Article
Language:English
Published: Elsevier B.V 01.05.2025
Elsevier
Subjects:
Algorithm visualization
Conversational agent
MOOC
Programming education
MOOC
Conversational agent
Programming education
Algorithm visualization
ISSN:2352-7110, 2352-7110
Online Access:Get full text
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Summary: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