Title :
Gray Forecast Approach for Developing Distance Learning and Diagnostic Systems
Author_Institution :
Dept. of Inf. & Learning Technol., Nat. Univ. of Tainan, Tainan City
Abstract :
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
Keywords :
computer aided instruction; distance learning; forecasting theory; computer-assisted learning systems; conventional testing systems; diagnostic systems; distance learning; gray forecast approach; student learning problems diagnosis; subject concepts; Adaptive systems; Cities and towns; Computer aided instruction; Computer networks; Councils; Data engineering; Learning systems; Multimedia systems; Predictive models; System testing; Adaptive hypermedia; computer-assisted learning; computer-assisted testing; gray theory; learning diagnosis;
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
DOI :
10.1109/TSMCC.2006.876062
