大規模言語モデルによる適応的学習者反応予測

江原 遥

doi:10.11517/pjsai.JSAI2023.0_1R5OS10b01

Proceedings of the Annual Conference of JSAI

Online ISSN : 2758-7347

37th (2023)

Session ID : 1R5-OS-10b-01

DOI https://doi.org/10.11517/pjsai.JSAI2023.0_1R5OS10b01

Conference information

Host: The Japanese Society for Artificial Intelligence

Name : The 37th Annual Conference of the Japanese Society for Artificial Intelligence

Number : 37

Location : [in Japanese]

Date : June 06, 2023 - June 09, 2023

Prediction of Responses of Learners based on Large Language Models

*Yo EHARA

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Keywords: Educational AI, Large Language Models, Item Resonse Theory

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

This study addresses interpretable methods for the learner response prediction task that uses the training data of the question text for each question and its responses to predict the response to new question-learner pairs.

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