A Survey Study on the State of the Art of Programming Exercise Generation Using Large Language Models

This paper analyzes Large Language Models (LLMs) with regard to their programming exercise generation capabilities. Through a survey study, we defined the state of the art, extracted their strengths and weaknesses and finally proposed an evaluation matrix, helping researchers and educators to decide...

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Vydáno v:	Proceedings / Conference on Software Engineering Education & Training s. 1 - 5
Hlavní autoři:	Frankford, Eduard, Hohn, Ingo, Sauerwein, Clemens, Breu, Ruth
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 29.07.2024
Témata:	Artificial Intelligence ChatGPT Data privacy Education Fitting Large language models Navigation Programming Education Programming Exercise Generation Programming Exercise Generation Benchmark Surveys Transforms
ISSN:	2377-570X
On-line přístup:	Získat plný text
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