Abstract
Digital learning activity is a new phenomenon of everyday life in the digital world in the 21st century, and it is necessary to understand and study the inductive approach. The objectives of this study are to explore YouTube-based digital learning activity. First, the cluster type is derived by classifying the perception of digital learning based on YouTube and the characteristics of practical behavior of lifelong learners. Second, the difference of digital learning characteristics by cluster type of lifelong learners is confirmed. Third, the cluster type suitable for digital learning behavior of lifelong learners is conceptualized and explained. The research method constructs survey tools related to digital learning of lifelong learners through the consideration of previous studies, to confirm validity and reliability, and to collect data, and then to conduct cluster analysis(K-Means technique), discriminant analysis, and ANOVA. The results of the study are as follows: first, four clusters were identified by the frequency and classification ratio of digital learning practice based on YouTube of lifelong learners. Second, the characteristics of lifelong learners' perception of digital learning and practice(exploration, selection, expression, viewing, activity, expansion) show significant differences by four clusters. Third, the cluster types of digital learning of lifelong learners were conceptualized as ‘the Deepening-immersive group, the perceiving-passive group, the subscribing-activity group, and the searching-watching group’. The results of this study will provide useful basic information to understand the digital learning of modern people by type and promote digital learning practice for lifelong learners.
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More From: The Korean Society for the Study of Lifelong Education
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