Effect of Flipped Teaching on Cognitive Load Level with Mobile Devices: The Case of a Graphic Design Course

Yi-Chieh Chen, Kuo-Kuang Fan and Kwo-Ting Fang
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Yi-Chieh Chen: Doctoral Program, Graduate School of Design, National Yunlin University of Science and Technology, 123, Sec. 3, University Road, Douliu 64002, Yunlin, Taiwan
Kuo-Kuang Fan: Graduate School of Design, National Yunlin University of Science and Technology, 123, Sec. 3, University Road, Douliu 64002, Yunlin, Taiwan
Kwo-Ting Fang: Department of Information Management, National Yunlin University of Science and Technology, 123, Sec. 3, University Road, Douliu 64002, Yunlin, Taiwan

Sustainability, 2021, vol. 13, issue 13, 1-26

Abstract: Due to the emergence of computer education, AI education, the Internet of Things, big data, and technological wisdom, it is easy for students to be distracted when engaged in traditional education. Flipped teaching is a teaching strategy frequently used in colleges and universities. The focus of this research was conducted by a comparative analysis of the cognitive load between the experimental group and the control group through a quasi-experimental design for research with different learning methods and different classes. More specifically, flipped teaching was carried out with an experimental group, and traditional teaching a control group; they were observed at the same time, and 213 private university students participated in the experiment. The research proposes a practice of mixed teaching, carried out in a group communication behavior system, and enhancing the spirit of group interaction and learning through mobile devices. The core value of the research lies in (1) online learning, (2) group interaction, and (3) the learning load of the conceptual model. In addition, focus group interviews were used to provide feedback on participants’ cognition and emotions. The results indicate that there were differences in cognitive load between the two classes.

Keywords: flipped teaching; online learning; AI education; mobile devices; cognitive load; learning load (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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