Analysis of Learning Behaviors Using a System for Visualizing and Sharing Learning Assessments
Nobuhiko Kondo, Toshiharu Hatanaka, Takeshi Matsuda · IIAI Letters on Institutional Research · 2025
This paper presents a four-year classroom practice (2021–2024) that aims to promote autonomous learning behaviors by visualizing and sharing learning assessments. The study developed and implemented a point-based evaluation system using Google Sheets to ensure that each student’s progress is visible in real time. The system enabled students to monitor their learning status and compare it with peers anonymously. Data from each year exhibited a gradual shift toward higher cumulative point rates with a number of students displaying significant improvement toward the end of the semester. In addition, the responses indicated that students with more positive attitudes toward the system and frequent use tended to achieve high levels of performance. Although the study was unable to establish causal relationships, the results implied that active engagement with the system could positively impact learning. The study also discussed the effects of evaluation criteria and point allocation on learning behavior and highlighted the need for further analyses and intervention strategies to foster engagement.