Common logic errors made by novice programmers

Author:

Ettles Andrew1,Luxton-Reilly Andrew1,Denny Paul1

Affiliation:

1. University of Auckland, Auckland, New Zealand

Publisher

ACM Press

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Investigating the Proficiency of Large Language Models in Formative Feedback Generation for Student Programmers;Proceedings of the 1st International Workshop on Large Language Models for Code;2024-04-20

2. Experience Report: Identifying common misconceptions and errors of novice programmers with ChatGPT;Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training;2024-04-14

3. Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2;2024-03-14

4. Need a Programming Exercise Generated in Your Native Language? ChatGPT's Got Your Back: Automatic Generation of Non-English Programming Exercises Using OpenAI GPT-3.5;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1;2024-03-07

5. Can Language Models Employ the Socratic Method? Experiments with Code Debugging;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1;2024-03-07

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