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Analyzing learning concepts in intelligent tutoring systems
Joint Authors
Gunel, Korhan
Polat, Rafat
Kurt, Muhammad
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 2 (31 Mar. 2016)6 p.
Publisher
Publication Date
2016-03-31
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Educational Sciences
Information Technology and Computer Science
Topics
Abstract EN
The information that is increasing and changing rapidly at the present day, and the usage of computers in educational and instructional processes has become inevitable.
With the rapid progress in technology, research gives more importance to integrate intelligent issues with educational support systems such as distance learning and learning management systems.
Such studies are considered as applications of the artificial intelligence on educational processes.
Regarding this viewpoint, some supervised learning models which is able to recognize the learning concepts from a given educational content presented to a tutoring system has been designed, in this study.
For this aim, firstly, three different corpora constructed from educational contents related to the subject titles such as calculus, Abstract Algebra and Computer Science have been composed.
For each candidate learning concepts, the feature vectors have been generated using a relation factor in addition to tf-idf values.
The relation factor is defined as the ratio of the total number of the most frequent substrings in the corpus that appear with a candidate concept in the same sentence within an educational content to most frequent substring in the corpus.
The achievement of this system is measured according to the f-measure.
American Psychological Association (APA)
Gunel, Korhan& Polat, Rafat& Kurt, Muhammad. 2016. Analyzing learning concepts in intelligent tutoring systems. The International Arab Journal of Information Technology،Vol. 13, no. 2.
https://search.emarefa.net/detail/BIM-581176
Modern Language Association (MLA)
Gunel, Korhan…[et al.]. Analyzing learning concepts in intelligent tutoring systems. The International Arab Journal of Information Technology Vol. 13, no. 2 (Mar. 2016).
https://search.emarefa.net/detail/BIM-581176
American Medical Association (AMA)
Gunel, Korhan& Polat, Rafat& Kurt, Muhammad. Analyzing learning concepts in intelligent tutoring systems. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 2.
https://search.emarefa.net/detail/BIM-581176
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-581176