Work

Analysis of Learning Behaviors Using a System for Visualizing and Sharing Learning Assessments

Year: 2025

Type: article

Abstract: 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.

Source: IIAI Letters on Institutional Research

DOI: 10.52731/lir.v005.423

Authors: Nobuhiko Kondo, Toshiharu Hatanaka, Takeshi Matsuda

Institutions: Tokyo Metropolitan University, University of Fukuchiyama

Language: English

Topic: Student Assessment and Feedback

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: bronze

Funder: Japan Society for the Promotion of Science