| Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models S Sarsa, P Denny, A Hellas, J Leinonen Proceedings of the 2022 ACM Conference on International Computing Education …, 2022 | 453 | 2022 |
| Experiences from using code explanations generated by large language models in a web software development e-book S MacNeil, A Tran, A Hellas, J Kim, S Sarsa, P Denny, S Bernstein, ... Proceedings of the 54th ACM Technical Symposium on Computer Science …, 2023 | 202 | 2023 |
| Using large language models to enhance programming error messages J Leinonen, A Hellas, S Sarsa, B Reeves, P Denny, J Prather, BA Becker Proceedings of the 54th ACM Technical Symposium on Computer Science …, 2023 | 198 | 2023 |
| Computing education in the era of generative AI P Denny, J Prather, BA Becker, J Finnie-Ansley, A Hellas, J Leinonen, ... Communications of the ACM 67 (2), 56-67, 2024 | 189 | 2024 |
| Comparing code explanations created by students and large language models J Leinonen, P Denny, S MacNeil, S Sarsa, S Bernstein, J Kim, A Tran, ... Proceedings of the 2023 Conference on Innovation and Technology in Computer …, 2023 | 188 | 2023 |
| 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 | 126 | 2023 |
| Evaluating the performance of code generation models for solving Parsons problems with small prompt variations B Reeves, S Sarsa, J Prather, P Denny, BA Becker, A Hellas, B Kimmel, ... Proceedings of the 2023 Conference on Innovation and Technology in Computer …, 2023 | 58 | 2023 |
| Automatically generating cs learning materials with large language models S MacNeil, A Tran, J Leinonen, P Denny, J Kim, A Hellas, S Bernstein, ... arXiv preprint arXiv:2212.05113, 2022 | 53 | 2022 |
| Robosourcing Educational Resources--Leveraging Large Language Models for Learnersourcing P Denny, S Sarsa, A Hellas, J Leinonen arXiv preprint arXiv:2211.04715, 2022 | 48 | 2022 |
| Towards giving timely formative feedback and hints to novice programmers J Jeuring, H Keuning, S Marwan, D Bouvier, C Izu, N Kiesler, T Lehtinen, ... Proceedings of the 2022 Working Group Reports on Innovation and Technology …, 2022 | 44 | 2022 |
| Can we trust AI-generated educational content? comparative analysis of human and AI-generated learning resources P Denny, H Khosravi, A Hellas, J Leinonen, S Sarsa arXiv preprint arXiv:2306.10509, 2023 | 41 | 2023 |
| The Implications of Large Language Models for CS Teachers and Students. S MacNeil, J Kim, J Leinonen, P Denny, S Bernstein, BA Becker, ... SIGCSE (2), 1255, 2023 | 36 | 2023 |
| Empirical evaluation of deep learning models for knowledge tracing: Of hyperparameters and metrics on performance and replicability S Sarsa, J Leinonen, A Hellas arXiv preprint arXiv:2112.15072, 2021 | 27* | 2021 |
| Decoding logic errors: a comparative study on bug detection by students and large language models S MacNeil, P Denny, A Tran, J Leinonen, S Bernstein, A Hellas, S Sarsa, ... Proceedings of the 26th Australasian Computing Education Conference, 11-18, 2024 | 22 | 2024 |
| 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 | 16 | 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 | 15 | 2022 |
| Publishing and using legislation and case law as linked open data on the semantic web E Hyvönen, M Tamper, E Ikkala, S Sarsa, A Oksanen, J Tuominen, ... European Semantic Web Conference, 110-114, 2020 | 14 | 2020 |
| LawSampo: A semantic portal on a linked open data service for finnish legislation and case law E Hyvönen, M Tamper, A Oksanen, E Ikkala, S Sarsa, J Tuominen, ... The Semantic Web: ESWC, 110-114, 2020 | 13 | 2020 |
| Steps learners take when solving programming tasks, and how learning environments (should) respond to them J Jeuring, H Keuning, S Marwan, D Bouvier, C Izu, N Kiesler, T Lehtinen, ... Proceedings of the 27th ACM Conference on on Innovation and Technology in …, 2022 | 11 | 2022 |
| " Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students Using Large Language Models S Bernstein, P Denny, J Leinonen, L Kan, A Hellas, M Littlefield, S Sarsa, ... Proceedings of the 2024 on Innovation and Technology in Computer Science …, 2024 | 10 | 2024 |
Arto HellasAalto UniversityVerified email at aalto.fi