The Effects of Educational Relationship between College Student-AI on the Expected Role of AI: Validating the Moderating Role of AI Preference

Jinhee Kim, Na Li, Sang-Soog Lee*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to investigate the moderating effect of AI preference (three AI types: ITS, ELE, and AI-based Dashboard) of college students between expected relationship building with educational AI and the expected role of AI. For an exploratory study, PLS-SEM (Partial Least Square Structural Equation Model) analysis was conducted based on 425 college students' responses. The results revealed that students expected 'Trust' the most for building relationships with educational AI, and 'ITS' showed the most frequent moderating effects among other AI preferences. The results of this study are expected to be used as basic data to present implications for AI development that can form educationally meaningful interactions with students and the role of AI in collaborating with human instructors to support learning in the educational field.
Original languageEnglish
JournalThe Journal of the Korea Contents Association
DOIs
Publication statusPublished - Nov 2023

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