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