Case Study of a Class on Classical Narratives Using ChatGPT

Focusing on the Classics Retelling Project

Authors

Keywords:

ChatGPT, Classical Korean narratives, Retelling, Education, Self-directed Learning, Learner-ChatGPT Interaction

Abstract

https://doi.org/10.21860/j.14.2.7

This study analyzes the “Classical Narratives Retelling Project Using ChatGPT” conducted by the Department of Korean Language and Literature at Chung-Ang University in Korea in the first semester of 2023 in the course “Studies on Classical Literature Narrative”. The retelling project was carried out in stages, from the preliminary stage to the preparation, planning, and production stage. In collaborating with ChatGPT, learners repeatedly compared and reviewed their initial intentions with ChatGPT’s suggestions. In selecting, revising, and synthesizing the story with ChatGPT, learners continuously considered narrative integrity and the team’s retelling intentions (theme implementation). Their understanding of and interest in Korean classical narratives increased during this process. A 5-point Likert scale survey was used to verify this statistically and analyze the results, statistically confirming that the retelling process using ChatGPT had a positive effect on both understanding and interest in classical Korean narratives. To compensate for the limitations of the small sample size, we conducted an in-depth questionnaire survey. We analyzed the responses to confirm the effects of active participation and self-directed learning, deepening the understanding of classical narrative texts and forming a collaborative relationship between learners and ChatGPT. However, the limitations of using ChatGPT were identified as inaccuracies in ChatGPT data, answers that did not respond to learners’ intentions, uncreative ChatGPT narrative suggestions, and learners’ insufficient ability to utilize ChatGPT.

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Published

2024-02-14

Issue

Section

Artificial inteligence Humanities (AIH special section)