대학생용 학습역량 진단도구 개발: 생성형AI활용 역량을 포함하여

Abstract

The purpose of this study is to develop a learning competency diagnostic tool for university students, considering educational changes such as the emergence of generative AI and the trend of expanding usability. To achieve this research objective, a learning competency diagnostic tool consisting of three competency groups (learning behavior convergence, self-directed collaboration, generative AI compe tency) and nine subcompetencies factors was established through a review of previous studies and analysis of cases from other universi ties. In order to verify the reliability and validity of the provisional learning competency diagnostic tool, an online survey was conducted on students at N University in April 2025, and the survey data was organized to perform exploratory factor analysis and confirmatory factor analysis. As a result of the exploratory factor analysis, the nine subcompetencies included in the three competency groups were reduced to seven. As a result of the confirmatory factor analysis, the fit of the model for each of the three competency groups was found to be good, so the three competency groups, nine subdomains, and 40 items were finally confirmed. The learning competency diagnostic tool developed through this study can be used as a basis for establishing the direction of university education policy, evaluating the ef fectiveness of various programs conducted by non-curricular departments, and developing new programs.