@article{ART003109638},
author={Juyeon Lee and Seung-Hyun Kim},
title={A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={8},
pages={191-200}
TY - JOUR
AU - Juyeon Lee
AU - Seung-Hyun Kim
TI - A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 8
PB - The Korean Society Of Computer And Information
SP - 191
EP - 200
SN - 1598-849X
AB - The rapid advancement of computer technology and artificial intelligence has significantly impacted software education in Korea. Consequently, the 2022 revised curriculum demands personalized education.
However, implementing personalized education in schools is challenging. This study aims to facilitate personalized education by utilizing incorrect codes and error information submitted by beginners to construct prompts. And the difference in the frequency of correct feedback generated by the generative AI model and the prompts was examined. The results indicated that providing appropriate error information in the prompts yields better performance than relying solely on the excellence of the generative AI model itself. Through this research, we hope to establish a foundation for the realization of personalized education in programming education in Korea.
KW - Online Judge;Intelligent Tutoring System;Personalized Education;GPT-3.5;GPT-4.0
DO -
UR -
ER -
Juyeon Lee and Seung-Hyun Kim. (2024). A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms. Journal of The Korea Society of Computer and Information, 29(8), 191-200.
Juyeon Lee and Seung-Hyun Kim. 2024, "A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms", Journal of The Korea Society of Computer and Information, vol.29, no.8 pp.191-200.
Juyeon Lee, Seung-Hyun Kim "A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms" Journal of The Korea Society of Computer and Information 29.8 pp.191-200 (2024) : 191.
Juyeon Lee, Seung-Hyun Kim. A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms. 2024; 29(8), 191-200.
Juyeon Lee and Seung-Hyun Kim. "A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms" Journal of The Korea Society of Computer and Information 29, no.8 (2024) : 191-200.
Juyeon Lee; Seung-Hyun Kim. A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms. Journal of The Korea Society of Computer and Information, 29(8), 191-200.
Juyeon Lee; Seung-Hyun Kim. A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms. Journal of The Korea Society of Computer and Information. 2024; 29(8) 191-200.
Juyeon Lee, Seung-Hyun Kim. A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms. 2024; 29(8), 191-200.
Juyeon Lee and Seung-Hyun Kim. "A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners’ Error Codes on Online Judge Platforms" Journal of The Korea Society of Computer and Information 29, no.8 (2024) : 191-200.
