4. I
Abstract
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.
Keywords :face detection, attention, group discussion