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 | 193 | 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 | 143 | 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 | 134 | 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 | 42 | 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 | 25 | 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 | 13 | 2024 |
Using large language models to automatically identify programming concepts in code snippets A Tran, L Li, E Rama, K Angelikas, S MacNeil Proceedings of the 2023 ACM Conference on International Computing Education …, 2023 | 10 | 2023 |
Generating multiple choice questions for computing courses using large language models A Tran, K Angelikas, E Rama, C Okechukwu, DH Smith, S MacNeil 2023 IEEE Frontiers in Education Conference (FIE), 1-8, 2023 | 9 | 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 |