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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Bibliographic Details

Published in:	Proceedings / Conference on Software Engineering Education & Training pp. 1 - 5
Main Authors:	Frankford, Eduard, Hohn, Ingo, Sauerwein, Clemens, Breu, Ruth
Format:	Conference Proceeding
Language:	English
Published:	IEEE 29.07.2024
Subjects:	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
Online Access:	Get full text
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