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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

, , , and . Computer Supported Education, page 160--182. Cham, Springer Nature Switzerland, (2024)

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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, , , and . Computer Supported Education, page 160--182. Cham, Springer Nature Switzerland, (2024)Combining Collaborative Reflection based on Worked-Out Examples with Problem-Solving Practice: Designing Collaborative Programming Projects for Learning at Scale., , , , , , and . L@S, page 255-258. ACM, (2021)Debugging with Evaluation Abstractions.. VL/HCC, page 251-252. IEEE Computer Society, (2010)Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code., , , and . CSEDU (2), page 47-58. SCITEPRESS, (2023)End-user programming in the wild: A field study of CoScripter scripts., , , and . VL/HCC, page 39-46. IEEE Computer Society, (2008)Programs for people: What we can learn from lab protocols., , and . VL/HCC, page 203-211. IEEE Computer Society, (2015)A Qualitative Study on Framework Debugging., , , , and . ICSME, page 568-579. IEEE, (2019)Characterizing reusability of end-user web macro scripts., , , , , and . RSSE@SIGSOFT FSE, page 1. ACM, (2008)Reactive information foraging: an empirical investigation of theory-based recommender systems for programmers., , , , , , , and . CHI, page 1471-1480. ACM, (2012)Reactive information foraging for evolving goals., , , , and . CHI, page 25-34. ACM, (2010)