Abstract
Recently, Active Learning (AL) has been focused on the educational method. AL is that is the style which students become active, and they progress the class themselves actively. However, it is difficult to assess the students who have the AL, and it becomes hard about advancing the evolution of these styles. Moreover, the questionnaire to the students has included the issue that it is difficult to assess we want because subjectivity has strengthened.
So we have advanced the investigation which can measure the degree of concentration against the class students, using biological information as the assessment method we can measure it objectively. We assess the degree of intensity against the class of students while they are having the class of AL. This method makes us the situation which we can realize the visualization of the degree of activity while we recognize the monitoring the status of students in which they are having the class of AL. We use GSR, eye flashes, the motion of the head as assessment indexes. We have selected the biological information we measure mentioned above and equipment we will use to reduce the strain of students by wearing a gear, although we can choose and use a variety of biological information to measure the situation of students. We can progress the class while visualizing the degree of concentration of students by using our system.
As a result, we can reduce the course of AL which is imitative that is being a mere reflection of AL technique. Furthermore, we can apply our effect to traditional teaching method because we can inform the situation which the students are becoming activated while the teachers are using a variety of skills which they drive the class well.
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Acknowledgment
This work was supported by JSPS KAKENHI Grant Number 18K02883.
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Yajima, K., Yonemura, K., Takeichi, Y., Sato, J. (2020). Visualization of the Concentration Degree by Using Biological Information. In: Auer, M., Hortsch, H., Sethakul, P. (eds) The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing, vol 1135. Springer, Cham. https://doi.org/10.1007/978-3-030-40271-6_57
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DOI: https://doi.org/10.1007/978-3-030-40271-6_57
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