A System to Evaluate Proactive Learning Attitudes through Concentration Based on Biometric Data

Abstract

In this study, we developed a system to quantitatively evaluate self-study attitudes based on biometric information, with a specific focus on the number of blinks, head swaying, and brainwaves. The experiment involved 24 students from a Kanagawa Prefectural high school, and they participated in two sets of 20-minute self-study sessions. We compared the system evaluation values derived from biometric information with evaluations provided by teachers. “Teacher Evaluation” was based on the “Proactive attitude toward learning.” As a result, 95.45% of valid data aligned with teacher evaluations, providing data that could assist teachers (with a difference of 1 or less between Teacher Evaluation and System Evaluation). The utilization of system-calculated values for assessing learning attitudes has the potential to enable teachers to conduct fair and efficient grading processes.