| Summary: | 碩士 === 國立暨南國際大學 === 資訊管理學系 === 86 === The cross-space characteristics of distance computer-assisted
learning (CAL) system create more effective learning for
students. But there still exits some problems on designing CAL
system. In addition to the difficulty of programming, the
behavior module of students on computer network is an important
issue to solve. By observing students'' behaviors in the
classroom, a teacher can adjust the strategy of tutoring to
enhance the students'' learning performance. However, in a
Network-Based Computer assisted learning environment, it is hard
to know students'' behaviors and attitude; therefore, if a
student is lack of concentration, willingness or patience, the
system will not be able to sense. Moreover, the system will not
be aware even when the student is absent, which implies the
resolution of these problems being impossible. In this paper, we
propose a method to diagnose students'' behaviors on computer
networks. Using this method, we can detect students'' learning
behaviors and attitude to help the student to learn better. We
analyze students'' communication contents and the tutoring
process of browsing subject materials. A diagnostic system of
learning behaviors in Internet environment is implemented, which
can diagnose the learning behavior of students, such as the
degree of concentration, learning willingness, patience, idle
time, chatting and the learning effect. We design the dynamic
subject materials on computer network, which include the formal
material, assisted material and remedial material to match the
tutoring system.
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