The Dynamic Adjustment Instruction Strategy: by Using Emotion Analysis of Brainwave

Authors

  • Han-Chieh CHAO Department of Electrical Engineering, National Dong Hwa University, Hualien Taiwan Author
  • Ting-Mei LI Department of Electrical Engineering, National Dong Hwa University, Hualien Taiwan Author
  • Wei-Xiang SHEN Department of Electrical Engineering, National Dong Hwa University, Hualien Taiwan Author
  • Hsin-Hung CHO Department of Computer Science and Information Engineering, National Ilan University, Yilan Taiwan Author

Abstract

Education has always been focus of public attention, and how to cultivate students' abilities is a very important subject for teachers. Students' learning situation is deeply influenced by teachers' instruction strategies. Especially in higher education, how to build up the ability to think independently and solve problems in different ways is a very important thing for students. As time changes and technology evolves, students encounter problems more difficult and complex. how can teachers adjust their instruction strategies? When is the best time to help students? In this paper, we propose the use of electroencephalogram (EEG) to analyze and classify learning emotions. Next, the classification results will be sent to the teacher through the app, who can adjust the course content and methods. In addition, six kinds of instruction strategies were used to analyze the influence of emotion. The results show that students are in a better emotion if educators use these strategies at the right time.

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Published

2018-11-26

How to Cite

The Dynamic Adjustment Instruction Strategy: by Using Emotion Analysis of Brainwave. (2018). International Conference on Computers in Education. http://library.apsce.net/index.php/ICCE/article/view/3804