DEVELOPMENT OF A STUDENT REFLECTION SUPPORT SYSTEM BY AUTOMATIC CLASSIFICATION OF SENTENCES OF REFLECTION ON LEARNING USING A CUSTOM MACHINE LEARNING MODEL

It is becoming increasingly important not only in higher educational institutions but also in primary and secondary schools for students to learn proactively and autonomously. With this type of learning, it is essential for students to constantly reflect on their learning in order to adjust tasks and progress to the subsequent learning. However, when students reflect on learning, they often stick to the facts and their impressions of various activities. Thus, it is necessary for teachers to grasp the individual situation of each student, ideally through reading sentences of reflection on learning written by the student, and to facilitate reflection on learning appropriately. One promising direction is technologies such as artificial intelligence and machine learning that could be used to facilitate learning by analyzing large amounts of accumulated data. The purpose of this study is to develop a system that facilitates student reflection on learning by using a custom machine learning model. This model automatically classifies written sentences of reflection on learning with a focus on the different phases of reflection. We then facilitate further reflection on learning by grasping the situation from the classification result. In this paper, we describe the design and development of the system functions.