Generating diverse code explanations using the gpt-3 large language model S MacNeil, A Tran, D Mogil, S Bernstein, E Ross, Z Huang Proceedings of the 2022 ACM Conference on International Computing Education …, 2022 | 142 | 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 | 116 | 2023 |
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 | 89 | 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 | 34 | 2022 |
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 | 18 | 2023 |
Prompt middleware: Mapping prompts for large language models to UI affordances S MacNeil, A Tran, J Kim, Z Huang, S Bernstein, D Mogil arXiv preprint arXiv:2307.01142, 2023 | 9 | 2023 |
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 | 6 | 2024 |
"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, MLS Sarsa, ... arXiv preprint arXiv:2403.09409, 2024 | | 2024 |