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From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-Choice Questions for Programming Classes in Higher Education

, , , и . Computer Supported Education, стр. 160--182. Cham, Springer Nature Switzerland, (2024)

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Christopher Christopher

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Christopher Künzel

 

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From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-Choice Questions for Programming Classes in Higher Education, , , и . Computer Supported Education, стр. 160--182. Cham, Springer Nature Switzerland, (2024)Debugging with Evaluation Abstractions.. VL/HCC, стр. 251-252. IEEE Computer Society, (2010)Combining Collaborative Reflection based on Worked-Out Examples with Problem-Solving Practice: Designing Collaborative Programming Projects for Learning at Scale., , , , , , и . L@S, стр. 255-258. ACM, (2021)Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code., , , и . CSEDU (2), стр. 47-58. SCITEPRESS, (2023)Programs for people: What we can learn from lab protocols., , и . VL/HCC, стр. 203-211. IEEE Computer Society, (2015)End-user programming in the wild: A field study of CoScripter scripts., , , и . VL/HCC, стр. 39-46. IEEE Computer Society, (2008)SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study., , , , , , , , и . CoRR, (2023)Software visualization for end-user programmers: trial period obstacles., , и . SOFTVIS, стр. 135-144. ACM, (2008)Characterizing reusability of end-user web macro scripts., , , , , и . RSSE@SIGSOFT FSE, стр. 1. ACM, (2008)Programming Plagiarism Detection with Learner Data., , , , и . SIGCSE (2), стр. 1826-1827. ACM, (2024)