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

We explore the evolving efficacy of three generative pre-trained transformer (GPT) models in generating answers for multiple-choice questions (MCQ) from introductory and intermediate Python programming courses in higher education. We focus on the differences in capabilities of the models prior to th...

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Hauptverfasser:	Savelka, Jaromir, Agarwal, Arav, Bogart, Christopher, Sakr, Majd
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computers and Society
Online-Zugang:	Volltext bestellen
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