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http://dx.doi.org/10.14400/JDC.2020.18.6.045

Factors Affecting Learning Methods and Flipped Learning by Flipped Learning  

Yi, Eun-Seon (Department of Computer Education, Korea University)
Lim, Heui-Seok (Department of Computer Science, Korea University)
Publication Information
Journal of Digital Convergence / v.18, no.6, 2020 , pp. 45-52 More about this Journal
Abstract
This study ranked the degree to which flipped learning contributes to each learning area and, in contrast, to quantitatively examine how effectively these learning methods are used in flipped learning, had four-year university computer majors receive flipped learning. Existing flipped learning experiments have proven effectiveness, while there are also negative effects on effectiveness, which has led to a lot of debate. Effective experiments and classes therefore require more research and an accurate understanding of flipped learning. Analysis of the 123 samples recruited shows that flipped learning contributes to learning is in order of self-directing, collaboration, watching videos, and learning by teachers. Regression analysis of the degree to which learning method affects flipped learning effectiveness resulted in order of self-directed learning, lecture videos, and collaborative learning. This shows that flipped learning not only has the greatest influence on self-directed learning, but also self-directed learning has the greatest influence on flipped learning. It can also see that a collaborative learning and the role of video to prior learning tool is important. Through this study, we hope to understand flipped learning correctly and set learning methods and achievement goals. It is necessary to analyze the interaction between flipped learning and subdivided classroom activities.
Keywords
flipped learning; online learning; self-directing; collaborative learning; lecture videos;
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Times Cited By KSCI : 2  (Citation Analysis)
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