| Exploring the responses of large language models to beginner programmers’ help requests A Hellas, J Leinonen, S Sarsa, C Koutcheme, L Kujanpää, J Sorva Proceedings of the 2023 ACM Conference on International Computing Education …, 2023 | 96 | 2023 |
| Automated program repair using generative models for code infilling C Koutcheme, S Sarsa, J Leinonen, A Hellas, P Denny International Conference on Artificial Intelligence in Education, 798-803, 2023 | 14 | 2023 |
| Methodological considerations for predicting at-risk students C Koutcheme, S Sarsa, A Hellas, L Haaranen, J Leinonen Proceedings of the 24th Australasian Computing Education Conference, 105-113, 2022 | 12 | 2022 |
| Towards open natural language feedback generation for novice programmers using large language models C Koutcheme Proceedings of the 22nd Koli Calling International Conference on Computing …, 2022 | 10 | 2022 |
| Training language models for programming feedback using automated repair tools C Koutcheme International Conference on Artificial Intelligence in Education, 830-835, 2023 | 9 | 2023 |
| Speeding Up Automated Assessment of Programming Exercises S Sarsa, J Leinonen, C Koutcheme, A Hellas Proceedings of the 2022 Conference on United Kingdom & Ireland Computing …, 2022 | 4 | 2022 |
| Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge C Koutcheme, N Dainese, S Sarsa, A Hellas, J Leinonen, P Denny Proceedings of the 2024 on Innovation and Technology in Computer Science …, 2024 | 3 | 2024 |
| Benchmarking Educational Program Repair C Koutcheme, N Dainese, S Sarsa, J Leinonen, A Hellas, P Denny arXiv preprint arXiv:2405.05347, 2024 | 3 | 2024 |
| Exploring how students solve open-ended assignments: a study of SQL injection attempts in a cybersecurity course C Koutcheme, A Tilanterä, A Peltonen, A Hellas, L Haaranen Proceedings of the 27th ACM Conference on on Innovation and Technology in …, 2022 | 2 | 2022 |
| Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education C Koutcheme, N Dainese, A Hellas Proceedings of the 19th Workshop on Innovative Use of NLP for Building …, 2024 | 1 | 2024 |
| Let's Ask AI About Their Programs: Exploring ChatGPT's Answers To Program Comprehension Questions T Lehtinen, C Koutcheme, A Hellas Proceedings of the 46th International Conference on Software Engineering …, 2024 | 1 | 2024 |
| Evaluating distance measures for program repair C Koutcheme, S Sarsa, J Leinonen, L Haaranen, A Hellas Proceedings of the 2023 ACM Conference on International Computing Education …, 2023 | 1 | 2023 |
| Analyzing Fine-Grained Material Usage Behavior C Koutcheme, J Leinonen, J Sorva, A Hellas CS Education Infrastructure for All III: From Ideas to Practice: Seventh …, 2021 | 1 | 2021 |
| Comparing the Utility, Preference, and Performance of Course Material Search Functionality and Retrieval-Augmented Generation Large Language Model (RAG-LLM) AI Chatbots in … L Pasquarelli, C Koutcheme, A Hellas arXiv preprint arXiv:2410.13326, 2024 | | 2024 |
| Propagating Large Language Models Programming Feedback C Koutcheme, A Hellas Proceedings of the Eleventh ACM Conference on Learning@ Scale, 366-370, 2024 | | 2024 |
| Evaluating Language Models for Generating and Judging Programming Feedback C Koutcheme, N Dainese, A Hellas, S Sarsa, J Leinonen, S Ashraf, ... arXiv preprint arXiv:2407.04873, 2024 | | 2024 |
| Understanding student behaviors when learning online materials using fine-grained browsing data C Koutcheme | | 2021 |
Arto HellasAalto UniversityVerified email at aalto.fi
