대학생의 온라인 강의 학습행태, 온라인 강의 시 학습자 특성, 학습만족도, 교수-학생 상호작용에 따른 온라인 강의 집중도
An Online Lecture Concentration According to Online Learning Behavior, Learner Characteristics, Learning Satisfaction, and Teacher-student Interaction of University Students
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Purpose: Because of the COVID-19 pandemic in 2020, colleges had no choice but to introduce online classes without sufficient preparation. As a result, various problems emerged in college students’ learning experience. To establish a strategy for improving online education quality, the necessity to understand university students’ learning behavior, learner characteristics, learning satisfaction, and the impact of professor-student interaction on online lecture concentricity. Methods: This study is a cross-sectional survey conducted on college students from nine universities who experienced online lectures in the first semester of 2020. Online lecture learning behavior, learner characteristics, learning satisfaction, and professor-student interaction were analyzed using t-test, ANOVA, and Pearson’s correlation coefficient to explore the difference in online lecture concentration. Results: The concentration in-class lectures and online lectures averaged 7.04 and 5.73, respectively. According to the analysis, online learning concentration was a significant positive correlation by learner characteristics (r=.40, p<.001), professor-student interaction (r=.30, p<.001), online lecture evaluation (r=.34, p<.001). Conclusion: Therefore, it is suggested that universities should establish guidance strategies related to lecture time zones, measures for managing and supervising learners, reflecting online lecture evaluation results, and strategies for improving student interaction.
Abstract
Purpose: Because of the COVID-19 pandemic in 2020, colleges had no choice but to introduce online classes without sufficient preparation. As a result, various problems emerged in college students’ learning experience. To establish a strategy for improving online education quality, the necessity to understand university students’ learning behavior, learner characteristics, learning satisfaction, and the impact of professor-student interaction on online lecture concentricity. Methods: This study is a cross-sectional survey conducted on college students from nine universities who experienced online lectures in the first semester of 2020. Online lecture learning behavior, learner characteristics, learning satisfaction, and professor-student interaction were analyzed using t-test, ANOVA, and Pearson’s correlation coefficient to explore the difference in online lecture concentration. Results: The concentration in-class lectures and online lectures averaged 7.04 and 5.73, respectively. According to the analysis, online learning concentration was a significant positive correlation by learner characteristics (r=.40, p<.001), professor-student interaction (r=.30, p<.001), online lecture evaluation (r=.34, p<.001). Conclusion: Therefore, it is suggested that universities should establish guidance strategies related to lecture time zones, measures for managing and supervising learners, reflecting online lecture evaluation results, and strategies for improving student interaction.
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