Validation of Self-study Attitude System Evaluation Based on Biometric Information

Abstract

The proposed system calculates learners’ concentration levels from bioinformation and provides an evaluation of the “proactive attitude toward learning” during high school students’ self-study. The evaluation is conducted by teachers on the basis of submitted materials such as notes and prints. However, one of the challenges faced by teachers is the time-consuming nature of the evaluation process and another by students who could not understand which activities were positively evaluated. Through the system evaluation examinetipd in this study, teachers can obtain a “fair and quantitative evaluation index,” which can reduce the time spent on indecision in the evaluation process. Students can progress in their learning by having a better idea of the quality of their concentration during self-study. Herein, we have evaluated students’ learning attitudes by combining three types of data: blink frequency, head movement, and brainwaves. In a previous study, we constructed the Kaminan evaluation model based on 22 subjects, and 90% of the subjects found that the system evaluation values based on biometric information could be used as reference values for evaluations of learning attitudes. In this experiment, we further validated the evaluation model by adding 12 students from another school. As a result, 91.7% of the participants reported that the system evaluation values based on biometric information could be used to estimate the evaluation values by teachers.