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April 1, 20260 citationsOpen Access

A Study on the Ideal Way of Evaluating 'Proactive Learning Attitude’: Discussion on Learning / Teaching Plans with Emphasis on 'Self-Regulation’

MTM. TeshimaKIKoichi ImadaTNTakuya NIHASHI

Key Points

  • The study aims to explore effective evaluation methods for academic performance, focusing on proactive learning attitudes and self-regulated learning.
  • Preparation of learning/teaching plans emphasizing self-regulated learning
  • Discussion of proactive learning attitudes
  • Evaluation of academic performance based on the GIGA School Program
  • Proposal of using Google Apps Script for study logs
  • Identified challenges in implementing new evaluation standards at senior high schools
  • Emphasized the need for optimal individual and collaborative learning in future evaluations

Abstract

This research deals with the theme of ‘Evaluation of Academic performance based on the GIGA School Program’. The 2022 updates of the Senior High School Curriculum Guidelines introduced ‘perspective-based evaluation of academic performance’. This evaluation system was introduced into elementary and junior high schools quite a while ago, but since it is implemented as a new standard at senior high schools, its effective implementation is considered to be a major challenge. In this research, the authors have prepared several learning/teaching plans with emphasis on ‘self-regulated learning’ as reference materials to discuss ‘proactive learning attitude’. In future studies, integration of ‘optimal individual learning’and ‘collaborative learning’ as learning evaluation criteria at higher levels is considered to be a major issue. Furthermore, in order to implement approaches in line with the GIGA School Program, the authors propose using GAS (Google Apps Script), a programming language provided by Google, as an application example of the study log.

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Cite This Study

Teshima et al. (2025) studied this question.

synapsesocial.com/papers/69cd7a815652765b073a7af3https://doi.org/10.15034/0002002478
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