• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.813-819
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• 2024

This study was conducted to highlight the need for systematic and tailored learning support strategies for students at A University in the Jeonbuk region, based on the results of the university's self-developed Multi-Dimensional Learning Competency Test (MLCT). The research aimed to analyze foundational data to accurately diagnose students' learning competencies according to their characteristics and provide customized learning support. A total of 773 participants were involved in the study, which analyzed the MLCT components of 'Motivation,' 'Cognition,' 'Behavior,' 'Emotion,' and 'Environment' across different groups based on sex, grade level, and college affiliation. The findings underscore the necessity of developing and disseminating various learning competency analysis tools to ensure that students can adapt well to university life and engage in successful learning activities without dropping out. This calls for the development of systematic learner diagnosis methods and tailored learning support programs.