Abstract
This paper presents a pilot study investigating the potential for enhancing literary skills through an innovative pedagogical approach in which students engage in teaching an artificial intelligence (AI) system to interpret literary texts. Drawing on educational research on teaching as a learning strategy, the study examines a specific case involving the interpretation of “The Word”, a play by the Danish playwright Kaj Munk. Utilizing dialogues with a chatbot based on a large language model (LLM) and along with the latest translation of Munk’s text into English, the study explores the potential and the effectiveness of this method in fostering deeper textual comprehension and critical engagement. The paper discusses both the potential benefits, and the challenges associated with this approach, contributing to the broader discourse on AI-assisted learning in literary studies.
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Notes
- 1.
1024 dimensions is an arbitrary number, and it was chosen to strike a balance between computational cost and detail.
- 2.
The numbers given by the chatbot are references to pages in the published edition of Kaj Munk’s play, (Munk 2024).
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Øhrstrøm, P., Jakobsen, D., Pacis, S. (2026). Teaching AI Textual Interpretation: A Catalyst for Enhanced Literary Skills. In: Wang, WS., Sandnes, F.E., Lai, CF., Sandtrø, T.A., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2025. Lecture Notes in Computer Science, vol 15913. Springer, Cham. https://doi.org/10.1007/978-3-031-98185-2_8
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