Charlie Koutcheme

    20212024

    Research activity per year

    Personal profile

    Artistic and research interests

    I am a doctoral student at the School of Science. I am working on an interdisciplinary project combining knowledge in computing education and recent advances in natural language modelling. In a nutshell, I study how we can better support students learning how to program. My research aims to discover the relationships between programming assignments, students' approaches to solving the related problems, and the technical challenges they face in coming up with successful solutions. My work also investigates how we can use natural language modelling methods applied to source code to provide automatic feedback. 

     

    Mother tongue

    French

    Education/Academic qualification

    Master's degree, Engineering and Technology, Université de Liège

    Award Date: 15 Sept 2021

    Master's degree, Master's degree, University of Liège

    15 Sept 201910 Sept 2021

    Award Date: 10 Sept 2021

    Keywords

    • Machine learning
    • Computing education research
    • Deep learning
    • Natural Language Processing

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    • Let's Ask AI About Their Programs : Exploring ChatGPT's Answers To Program Comprehension Questions

      Lehtinen, T., Koutcheme, C. & Hellas, A., 24 May 2024, Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training. ACM, p. 221-232 12 p.

      Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

      Open Access
      File
      7 Downloads (Pure)
    • Automated Program Repair Using Generative Models for Code Infilling

      Koutcheme, C., Sarsa, S., Leinonen, J., Hellas, A. & Denny, P., 2023, Artificial Intelligence in Education : 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023, Proceedings. Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O. C. & Dimitrova, V. (eds.). Springer, p. 798–803 (Lecture Notes in Computer Science ; vol. 13916).

      Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

      Open Access
      File
      4 Citations (Scopus)
      2 Downloads (Pure)
    • Evaluating Distance Measures for Program Repair

      Koutcheme, C., Sarsa, S., Leinonen, J., Haaranen, L. & Hellas, A., 10 Sept 2023, ICER '23: Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 1. ACM, p. 495–507

      Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

      Open Access
      File
      43 Downloads (Pure)
    • Exploring the Responses of Large Language Models to Beginner Programmers’ Help Requests

      Hellas, A., Leinonen, J., Sarsa, S., Koutcheme, C., Kujanpää, L. & Sorva, J., 10 Sept 2023, ICER '23: Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 1. ACM, p. 93–105

      Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

      Open Access
      File
      15 Citations (Scopus)
      62 Downloads (Pure)
    • Training Language Models for Programming Feedback Using Automated Repair Tools

      Koutcheme, C., 2023, Artificial Intelligence in Education: 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023, Proceedings. Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O. C. & Dimitrova, V. (eds.). Springer, p. 830–835 (Lecture Notes in Computer Science; vol. 13916).

      Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

      Open Access
      File
      1 Citation (Scopus)
      14 Downloads (Pure)