Paper Info
Title
The evaluation of Learning Management Systems using an artificial intelligence fuzzy logic algorithm
Abstract
There are many open source and commercially available Learning Management System (LMS) on the Internet and one of the important problems in this field is how to choose an LMS that will be the most effective one and that will satisfy the requirements. In order to help in the solution of this problem, the author has developed a computer program to aid in the selection of an LMS. The developed system is web-based and can easily be used over the Internet any where over the world at any time. The developed system is basically a web-based decision support system used to evaluate LMSs by using a flexible and smart algorithm derived from artificial intelligent concepts with fuzzy logic values. The paper describes the development of the LMS evaluation system. The individuals who are most likely to be interested in the LMS evaluation process are teachers, students, and any educational organizations such as: universities, schools, institutes, and anyone else who seeks to have a LMS.
Year
DOI
Venue
2010
10.1016/j.advengsoft.2009.07.009
Advances in Engineering Software
Keywords
Field
DocType
tele-learning,artificial intelligence,interactive learning environments,evaluation of cal systems,available learning management system,lms evaluation system,educational organization,distance education,web-based decision support system,fuzzy logic value,intelligent tutoring systems,computer program,important problem,learning management system,fuzzy logic algorithm,developed system,learning management systems,distributed learning environments,lms evaluation process,artificial intelligent concept,fuzzy logic,artificial intelligent,satisfiability,decision support system
Evaluation system,Learning Management,Computer science,Fuzzy logic,Decision support system,Distance education,Computer program,Artificial intelligence,Fuzzy logic algorithm,The Internet
Journal
Volume
Issue
ISSN
41
2
Advances in Engineering Software
Citations 
PageRank 
References 
12
0.63
5
Authors
1
Name
Order
Citations
PageRank
Nadire Cavus116711.36