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Automated Program Repair using Generative Models for Code Infilling

Published in Artificial Intelligence in Education, 2023

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Training Language Models for Programming Feedback Using Automated Repair Tools

Published in Artificial Intelligence in Education, 2023

Recommended citation: Koutcheme, C. (2023). Training Language Models for Programming Feedback Using Automated Repair Tools. In Artificial Intelligence in Education: 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023
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Evaluating Distance Measures for Program Repair

Published in ACM Conference on International Computing Education Research, 2023, 2023

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Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education

Published in 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024), 2024

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Open Source Language Models Can Provide Feedback: Evaluating LLMs’ Ability to Help Students Using GPT-4-As-A-Judge

Published in International Conference on Innovation and Technology in Computer Science Education, 2024

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Evaluating Language Models for Generating and Judging Programming Feedback

Published in 56th ACM Technical Symposium on Computer Science Education, 2025

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Direct Repair Optimization: Training Small Language Models For Educational Program Repair Improves Feedback

Published in 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025

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Reinforcement Learning for Programming Feedback: Aligning Small Language Models Without Human Preferences

Published in 9th Educational Data Mining in Computer Science Education (CSEDM) Workshop, 2025

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Aligning Small Language Models for Programming Feedback: Towards Scalable Coding Support in a Massive Global Course

Published in 57th ACM Technical Symposium on Computer Science Education, February 2026 (SIGCSE TS 2026), 2025

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.