Gray Forecast Approach for Developing Distance Learning and Diagnostic Systems

In recent years, researchers have attempted to apply network techniques to the development of computer-assisted learning systems. They have also attempted to develop more effective programs to test and improve the learning performance of students. However, the most conventional testing systems present only a score as a test result, which is not capable of providing advice to the students. To cope with this problem, we propose a gray forecast approach for modeling the relationships among the subject concepts and the test items. These relationships are then employed to diagnose the student learning problems. A testing and diagnostic system based on our approach has, therefore, been implemented. Some experimental results have demonstrated the feasibility of this approach in enhancing the students' learning performance, making it highly promising for further study