Analysis of Learners’ Attention and Group Participation by Facial Expression Recognition Approach

• Main Authors: Chiao-Lin Kung, 龔喬琳
• Other Authors: Hong-Ren Chen
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/23005479927786136345

碩士 === 國立臺中教育大學 === 數位內容科技學系碩士班 === 100 === In recent pluralistic society, teachers are teaching in a variety of ways, and e-learning and group discussion are widely used. But in these ways, it is hard for teachers to control students’ learning progress. Attention is closely related to learning efficiency, if there is no attention, there is no learning. Participation is the most important factor in group discussion, if there is little participation, there will be little learning effect. There are many ways to measure students’ attention levels, but the best one is face detection as it is more objective and has less effect on students. In this thesis, we will use face detection system combined with e-learning system to to analyze the participation of students in the focus on e-learning and group discussion. This study developed an e-learning system, and practically applied it on teaching. When the class of students learning on this system, System will through Webcam capture their facial features and head movements, and converted into data. The statistical analysis showed that while students are using e-learning system, their attention level and learning achievement are significantly related, and while learning more difficult courses, the students will pay more attention on it. But there is no significant relationship between participation and learning achievement in group discussion.