A High-Quality Generation Approach for Educational Programming Projects Using LLM

High-quality programming projects for education are critically required in teaching. However, it is hard to develop those projects efficiently and artificially constrained by the lecturers' experience and background. The recent popularity of large language models (LLMs) has led to a great numbe...

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Veröffentlicht in:	IEEE transactions on learning technologies Jg. 17; S. 2242 - 2255
Hauptverfasser:	Song, Tian, Zhang, Hang, Xiao, Yijia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2024
Schlagworte:	Automatic generation Chatbots Codes Computer architecture Education generative pretrained transformer (GPT) Iterative methods large language models (LLMs) Logic Measurement programming education Programming profession programming projects Prompt engineering Python
ISSN:	1939-1382, 2372-0050
Online-Zugang:	Volltext
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