Research output per year
Research output 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, Master's degree, University of Liege
15 Sept 2019 → 10 Sept 2021
Award Date: 10 Sept 2021
Keywords
- Machine learning
- Computing education research
- Deep learning
- Natural Language Processing
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Dive into the research topics where Charlie Koutcheme is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Exploring How Students Solve Open-ended Assignments: A Study of SQL Injection Attempts in a Cybersecurity Course
Koutcheme, C., Tilanterä, A., Peltonen, A., Hellas, A. & Haaranen, L., 7 Jul 2022, ITiCSE 2022 - Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education. ACM, p. 75-81 7 p. (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile31 Downloads (Pure) -
Methodological Considerations for Predicting At-risk Students
Koutcheme, C., Sarsa, S., Hellas, A., Haaranen, L. & Leinonen, J., 14 Feb 2022, ACE '22: Australasian Computing Education Conference. ACM, p. 105-113 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile4 Citations (Scopus)41 Downloads (Pure) -
Speeding Up Automated Assessment of Programming Exercises
Sarsa, S., Leinonen, J., Koutcheme, C. & Hellas, A., 2022, Proceedings of the 2022 Conference on United Kingdom & Ireland Computing Education Research. ACM, p. 1-7 7 p. 3Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile15 Downloads (Pure) -
Towards Open Natural Language Feedback Generation for Novice Programmers using Large Language Models
Koutcheme, C., 17 Nov 2022. 2 p.Research output: Contribution to conference › Poster › Scientific › peer-review
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Analyzing Fine-Grained Material Usage Behavior
Koutcheme, C., Leinonen, J., Sorva, J. & Hellas, A., 15 Mar 2021, Seventh SPLICE Workshop at SIGCSE 2021 “CS Education Infrastructure for All III: From Ideas to Practice”. 3 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional
Open Access
Activities
- 1 Conference presentation
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Exploring How Students Solve Open-ended Assignments: A Study of SQL Injection Attempts in a Cybersecurity Course
Artturi Tilanterä (Contributor), Arto Hellas (Speaker), Charlie Koutcheme (Contributor), Aleksi Peltonen (Contributor) & Lassi Haaranen (Contributor)
13 Jul 2022Activity: Talk or presentation types › Conference presentation