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An Ontology Model for Developing a SQL Personalized Intelligent Tutoring System

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dc.contributor.authorYathongchai, Wilairat
dc.contributor.authorAngskun, Jitimon
dc.contributor.authorFung, Chun Che
dc.date.accessioned2023-12-16T10:55:26Z
dc.date.available2023-12-16T10:55:26Z
dc.date.issued2017
dc.date.issuedBE2560
dc.description.abstractSQL contents are important for learning and teaching in all disciplines of computer courses. This paper is a proposed ontology for the SQL-Personalized Intelligent Tutoring System (SQL-PITS). The SQL-PITS is an Intelligent Tutoring System (ITS) for teaching SQL and providing adaptive content according personalized information from the learners. It is considered as the best paradigm for tutoring learners with tutorial topics that consist of content; examples; exercises; and tutoring materials that are suitable for individual learners according to their abilities; profiles; preference and background. The SQL-PITS will present units of knowledge to be learned; which are called “Topics”; as modular units separated from content and tutoring strategy. Ontology and Learning Object are used to enhance the capabilities of the SQL-PITS for effective SQL teaching. Ontology is a key concept in semantic web. It plays an important role in knowledge representation; sharing and reusing of multimedia learning materials; and content personalization. This paper presents the SQL ontology in three views: SQL Knowledge ontology; Learner Model ontology and Tutoring Strategies ontology. The structure of SQL ontology has been verified validity by domain experts which adopted the GQM (Goal; Questions; Metrics) approach for ontology evaluation. The evaluation results of SQL ontology structure in 5 ontology characteristics reveal that domain experts rate at the highest level on 4 ontology characteristics which are Preciseness; Completeness; Clarity; and Conciseness; The Consistency characteristic is in a high level.
dc.identifier.issn2539-553X
dc.identifier.urihttps://harrt.in.th/handle/123456789/8422
dc.language.isoen
dc.rightsCopyright (c) 2017 วารสารมหาวิทยาลัยนเรศวร วิทยาศาสตร์และเทคโนโลยี (Naresuan University Journal: Science and Technology)
dc.subjectคอมพิวเตอร์ช่วยสอนแบบอัจฉริยะ
dc.subjectออนโทโลยี
dc.subjectเอสคิวแอล
dc.subjectOntology
dc.subjectIntelligent Tutoring System
dc.subjectPersonalized Learning
dc.subjectSQL
dc.subject.isced0322 บรรณารักษ์, สารสนเทศ และการศึกษาจดหมายเหตุ
dc.subject.oecd5.8 นิเทศศาสตร์และสื่อสารมวลชน
dc.titleAn Ontology Model for Developing a SQL Personalized Intelligent Tutoring System
dc.typeบทความวารสาร (Journal Article)
dspace.entity.typePublication
harrt.researchAreaสารสนเทศศาสตร์
harrt.researchGroupบรรณารักษศาสตร์และสารสนเทศศาสตร์
harrt.researchTheme.1Information Technologies
harrt.researchTheme.2Ontologies
harrt.researchTheme.3Information System Design
mods.location.urlhttps://www.journal.nu.ac.th/NUJST/article/view/An%20Ontology%20Model%20for%20Developing%20a%20SQL%20Personalized%20Intelligent%20Tutoring%20System
oaire.citation.endPage96
oaire.citation.issue4
oaire.citation.startPage88
oaire.citation.titleNaresuan University Journal: Science and Technology (NUJST)
oaire.citation.volume25
oairecerif.author.affiliationมหาวิทยาลัยเทคโนโลยีสุรนารี. สำนักวิชาเทคโนโลยีสังคม. สาขาเทคโนโลยีสารสนเทศ
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