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http://dx.doi.org/10.22156/CS4SMB.2021.11.12.138

Analysis of Learners' Characteristics and Preferences for Effective Online Learning  

Lee, Young Lim (Dept. of Psychology & Psychotherapy, Dankook Univ.)
Im, Hee-Joo (College of Liberal Arts, Dankook Univ.)
Publication Information
Journal of Convergence for Information Technology / v.11, no.12, 2021 , pp. 138-147 More about this Journal
Abstract
This study aims to analyze the characteristics and preferences of learners who participated in college online classes for effective online learning. A total of 101 college students who participated in online classes completed the survey including personal characteristics of students and learning factors that affect online classes. The results showed that male students were more likely than female students to respond that online classes were more effective. Likewise students who learned from video recordings compared to those who learned from real-time lectures. As a result of analyzing the difficulties of online learning, there was a high probability that online learning was ineffective for students who had difficulties in self-learning and asking questions to their lecturers. Likewise, students who spent a lot of time studying online lectures, there was a high probability that online classes would be more effective for students who spent a lot of time on assignments. The results suggest that online learning is more effective for students who learn actively and self-directedly than those who passively participate in classes. This study implies that it is necessary to design online classes based on the characteristics and preferences of learners to improve the quality of education.
Keywords
Online learners' characteristics; Online learners' preferences; Online classes; Self-direct learning; College students;
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