CodeContrast: A Contrastive Learning Approach for Generating Coherent Programming Exercises

Generating high-quality programming exercises with well-aligned problem descriptions, test cases, and code solutions is crucial for computer science education. However, current methods often lack coherence among these components, reducing their educational value. We present CodeContrast, a novel gen...

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Veröffentlicht in:	Education sciences Jg. 15; H. 1; S. 80
1. Verfasser:	Torres, Nicolás
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2025
Schlagworte:	Academic achievement Accuracy Artificial Intelligence Automation code generation Computational linguistics Computer Oriented Programs Computer science Computer Science Education Computer Software contrastive learning Cultural Relevance educational content creation Educational Quality Electric transformers Feedback Generative artificial intelligence Language Language Processing Large language models Machine learning Natural language Natural language interfaces Natural Language Processing Pedagogy Programming programming exercise generation Science education Science Instruction Semantics Software development Software engineering
ISSN:	2227-7102, 2227-7102
Online-Zugang:	Volltext
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