Journal of the International Network for Korean Language and Culture 22-2, 1-26. This study explored a way for analyzing Korean writing learners’ attitudes toward AI use based on data science. It focused on developing scale items to measure Korean learners' attitudes toward AI use at each stage of the writing process. This study first examined trends in existing discussions on AI in Korean writing education. It identified a lack of systematic research on learners’ attitudes within the prevailing discourse, which is broadly divided into the perception and use of AI. Subsequently, the study reviewed analytical methods to determine attitudes toward AI based on data science, confirming cognitive, affective, and behavioral components as key elements of attitude. Accordingly, this study developed an attitude scale for each stage of the Korean-writing process, specifically proposing scale items reflecting cognitive, affective, and behavioral elements across the stages of planning, generating, organizing, expressing, and revising. (Gyeongkuk National University)
Authors: Kyoohoon Kim, Woong Suh
DOI: https://doi.org/10.15652/ink.2025.22.2.001
Publish Year: 2025
