[2R1-OS-10c] AI諸技術の発展に基づく学びのモデルの高度化と展望

[2R1-OS-10c-05] Proposal for a Learning Environment that Encourages Semi-Self-Directed Learning for Vector

〇Tomohito Jumonji¹, Nonoka Aikawa¹, Takahito Jumonji Tomoto¹ (1. Tokyo Polytechnic University)

Keywords:Adaptive Support

In learning, it is important to reflect on one's own answers to deepen understanding and to perform trial-and-error independently. We have developed a learning support system for vectors in mathematics that visualizes errors by converting mathematical expressions input by the learner into figures that can be operated according to the constraints of the mathematical expressions, thereby providing an environment in which the learner can perform trial-and-error operations. However, previous learning support systems stopped at presenting error visualization to the learner, and the operation of figures and the confirmation of feedback were dependent on the learner. Therefore, there was a possibility that some learners would not check the feedback given to them and would not look back to see what errors they made in their own answers. In this study, we propose a learning support that requires the system to perform operations by presenting a triangle as a model of the relationship between vectors in the synthesis of vectors in the problem, in addition to the conventional learning support. Since the learner is required to perform the activity of forming a triangle based on the generated vectors, the learner can reflect on the errors in his or her own answers, and can perform trial-and-error operations. This paper describes the implementation of the proposed learning support in the system.