Volume 3 Number 2 (Apr. 2013)
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IJEEEE 2013 Vol.3(2): 168-172 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2013.V3.216

SQL Learning Object Ontology for an Intelligent Tutoring System

Wilairat Yathongchai, Thara Angskun, and Jitimon Angskun
Abstract— This paper presents the development of learning object ontology for SQL contents that are designed according to the computer science curriculum standards of the ACM / IEEE Computer Society 2013. The learning object schema was designed by using the SCORM and the Ontology approach. The learning objects can be used as the knowledge base of Intelligent Tutoring System. The major characteristics of them are smaller learning units. These learning units facilitate to retrieve, share and reuse. In addition, it helps to define the different learning strategies of Intelligent Tutoring System in order to enhance the performance of system. The proposed ontology is applied in the semantic search engine in order to measure the performance. The retrieval results reveal that the semantic search engine using the SQL learning object ontology achieves with approximately 90% of F-measure in every type of keywords that are one keyword, two keywords and multi-keywords.

Index Terms— SQL, learning object, ontology, intelligent tutoring system.

The authors are with the School of Information Technology, Suranaree University of Technology, Muang District, Nakhon Ratchasima 30000, Thailand (e-mail: y_wilairat@hotmail.com, jitimon@sut.ac.th, angskun@sut.ac.th).

Cite: Wilairat Yathongchai, Thara Angskun, and Jitimon Angskun, " SQL Learning Object Ontology for an Intelligent Tutoring System," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 3, no. 2, pp. 168-172, 2013.

General Information

ISSN: 2010-3654
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Mr. Ron C. Wu
Abstracting/ Indexing: Engineering & Technology Digital Library, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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