Tenth International Conference On Advances In Computing, Control And Networking - ACCN 2020
Author(s) : Fumiko Harada, Hiromitsu Shimakawa, Shota Hashimura
Lessons tailored to the situation of understanding have a high learning effect, but it is difficult to keep track of students' understanding. In this paper, we propose a method that use VR to estimate whether students in a task have outlooks for the answer from body movements. As a result of the experiment, we succeeded in estimating the outlook of the answer with 75% accuracy but cannot found that the prospect itself was correct or not. This makes it possible to detect a state that the student is stuck in the task and the understanding is stagnant, and it is possible to provide a lesson tailored to the student's understanding state.