| Summary: | 碩士 === 中原大學 === 資訊工程研究所 === 93 === Distance learning provides a more convenient way of learning to teacher and learner. All things that can be accomplished by traditional learning can also be done by e-learning system. By using multimedia technologies such as video, it is possible to turn traditional course still have restriction to replace traditional courses.
Unfortunately, e-learning course still have restriction to replace traditional courses. Because e-learning is not restricted to time and space, it is hard to understand students’ learning situation and also hard to evaluate learning achievement correctly by on-line examination.
In this thesis, a system which applied characteristics described is proposed to diagnosis of e-learning, in this system, we help teachers to describe the learning help teachers to define and model the student behavior modules. Teachers could adapt the past courses behavior modules to current courses. By using this, Teachers can try to predict the students’ learning situation and offer assistance appropriately for those students who may failed the courses.
The system also have an auto-supervising mechanism that can monitor student’ learning situation on a regular time schedule set by teachers and send earning messages for those students who have unusual learning behavior. When student’ learning situation are known well, the system can help teachers to evaluate students by their learning profolio.
To sum up, this thesis has proposed a system with high degree of freedom for research. We can analyze the profolio from different periods to observe the changes of learning behavior. By using Structuralized Learning Feature(SLF),it is possible to advantage the system crossing different learning platforms.
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