| 研究実績の概要 |
Most of the learning has been shifted from traditional classes held physically to remote and online classes held virtually with the rise of COVID-19. Given the high degree of freedom and efficiency for the participants, online learning is expected to continue to grow even after the pandemic.
However, there is a noticeable difference between traditional teaching and online teaching. Though holding students' attention is always the key to keep the quality of learning, it is difficult even for experienced teachers to judge students' attention while conducting online teaching. Teachers need to watch the online screen during the session and try hard to assess the engagement using non-visual senses.
Therefore, we propose to use a computer vision technique to develop a system for online classes where students sit in front of their own webcams. The system we have designed in this project can support the teacher by measuring students' attention level by utilizing digital information through an online meeting platform and can judge when their eyes are away from the screen too often.
Our goal is to enhance education by taking advantage of the new opportunities created by the accelerating shift to online education, and we are hoping that there will be increasing support in this field.
|
