Title :
A knowledge-based system as an intelligent learning advisor on computer networks
Author_Institution :
Dept. of Inf. Manage., Nat. Chi Nan Univ., Puli, Taiwan
fDate :
6/21/1905 12:00:00 AM
Abstract :
We propose a network-based intelligent testing and diagnostic system that can give dynamic tests according to the degree of difficulty, discrimination, and other parameters. The system also permits several students to take a test cooperatively through a computer network. With proper discussions, students can solve their problems and will be more willing to learn. Moreover, by applying the techniques of fuzzy reasoning, the system is able to provide learning suggestions that can be used to guide the students to raise their learning status
Keywords :
computer networks; fuzzy logic; groupware; inference mechanisms; intelligent tutoring systems; uncertainty handling; computer networks; fuzzy reasoning; intelligent diagnostic system; intelligent learning advisor; intelligent tutoring; knowledge-based system; network-based intelligent testing system; student testing; Artificial intelligence; Computer aided instruction; Computer network management; Computer networks; Expert systems; Intelligent networks; Intelligent systems; Knowledge based systems; Learning; System testing;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.825225
