Using algorithms for evaluation in web based distance education

Traditional assessment approaches are still being used in distance education environments. Positive changes have been experienced on dimensions of user, management and teacher in distance education systems at each passing day. In addition to these positive changes, new approaches to be used at the e...

Full description

Saved in:
Bibliographic Details
Published in:Procedia, social and behavioral sciences social and behavioral sciences, 2010, Vol.9, p.1777-1780
Main Authors: Sevindik, Tuncay, Cömert, Zafer
Format: Article
Language:English
Subjects:
Algorithm
Assessment
Distance Education
Evaluation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Traditional assessment approaches are still being used in distance education environments. Positive changes have been experienced on dimensions of user, management and teacher in distance education systems at each passing day. In addition to these positive changes, new approaches to be used at the evaluation of distance education are emerging. Each of these approaches is an algorithm. In this study, the algorithms to be used at the evaluation of distance education platforms are analyzed and compared. Distance education algorithms as K-means, Apriori, C45, Support Vector Machines (SVM), KNN and Naive Bayes are created the universe and sample of this research. As a result, it is determined that which algorithms can be effective at analyzing of the student behavior, dimension of management and giving more impressive decision of the teachers.
ISSN:1877-0428
1877-0428
DOI:10.1016/j.sbspro.2010.12.399