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http://dx.doi.org/10.14400/JDC.2022.20.1.033

An analysis of students' online class preference depending on the gender and levels of school using Apriori Algorithm  

Kim, Jinhee (Department of Education, Seoul National University)
Hwang, Doohee (Cheonan Institute of Science and Technology Platform)
Lee, Sang-Soog (Department of Public Administration, Korea University)
Publication Information
Journal of Digital Convergence / v.20, no.1, 2022 , pp. 33-39 More about this Journal
Abstract
This study aims to investigate the online class preference depending on students' gender and school level. To achieve this aim, the study conducted a survey on 4,803 elementary, middle, and high school students in 17 regions nationwide. The valid data of 4,524 were then analyzed using the Apriori algorithm to discern the associated patterns of the online class preference corresponding to their gender and school level. As a result, a total of 16 rules, including 7 from elementary school students, 4 from middle school students, and 5 from high school students were derived. To be specific, elementary school male students preferred software-based classes whereas elementary female students preferred maker-based classes. In the case of middle school, both male and female students preferred virtual experience-based classes. On the other hand, high school students had a higher preference for subject-specific lecture-based classes. The study findings can serve as empirical evidence for explaining the needs of online classes perceived by K-12 students. In addition, this study can be used as basic research to present and suggest areas of improvement for diversifying online classes. Future studies can further conduct in-depth analysis on the development of various online class activities and models, the design of online class platforms, and the female students' career motivation in the field of science and technology.
Keywords
online class; Apriori algorithms; association rules analysis; preferred types of online learning; needs for online classes; Korean students;
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Times Cited By KSCI : 2  (Citation Analysis)
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