Presentation Schedule
Integrating AI Mentorship into Traditional Korean Poetry Education (95874)
Session Chair: Ying Wu
This presentation will be live-streamed via Zoom (Online Access)
Monday, 14 July 2025 10:15
Session: Session 2
Room: Live-Stream Room 3
Presentation Type:Live-Stream Presentation
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This study investigates the effectiveness of an Artificial Intelligence(AI) based mentor in helping secondary students interpret traditional Korean poetry. Recent AI research highlights the potential of AI to support the interpretation of context-rich and knowledge-intensive texts like the Bible by providing customized information. This study adapts such approaches to traditional poetry, which demands multilayered historical and cultural understanding.
The researchers curated relevant scholarly works and embedded them into the GPT model to support learners in interpreting traditional poetry. The AI was then programmed through prompt engineering to assist learners in locating necessary information during the reading process.
This study designed a mixed-methods experiment with 40 Korean high school students divided into two groups. The experimental group (n=20) engages in one-on-one interactions with an AI mentor incorporating persona tuning, Socratic scaffolding, and user-led dialogue strategies. The control group (n=20) receives traditional lecture-based instruction on the same text. Learners complete pre- and post-tests using a self-reported survey based on a Likert scale to measure their text comprehension. The collected data are analyzed using paired and independent t-tests.
Semi-structured post-session interviews qualitatively investigate learners’ interpretive processes and internal responses. In addition, the full transcripts of AI–learner interactions are examined through thematic analysis to identify patterns of interpretive interaction.
This study demonstrates that AI can act as a mentor by supplementing learners’ background knowledge during literary interpretation, suggesting its practical applicability in teaching complex literary texts.
Authors:
Eunsun Jeong, Seoul National University, South Korea
Miji Song, Seoul National University, South Korea
Jeonghee Ko, Seoul National University, South Korea
About the Presenter(s)
Eunsun Jeong is currently a doctoral student in Seoul National Korea, South Korea, majoring in poetry education.
See this presentation on the full schedule – Monday Schedule
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