DocumentCode :
568795
Title :
Resource Description Framework based intelligent tutoring system
Author :
Abbas, Mir Aamir ; Ahmad, Wan Fatimah Wan ; Kalid, K.S.
Author_Institution :
Comput. & Inf. Sci. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
Volume :
1
fYear :
2012
fDate :
12-14 June 2012
Firstpage :
324
Lastpage :
328
Abstract :
Intelligent tutoring system (ITS) is a contribution from Artificial Intelligence domain. It is an expert system that has a very effective role in modern education. It facilitates both teachers and students in teaching or learning of some concept of a domain. Despite of large number of benefits from ITS, yet very few people have experienced it in real environment. It is primarily due to high complexity of ITS development requirements. Modeling the correct and consistent domain knowledge that supports both pedagogical and software development activities and ITS user friendly interface creates this complexity. An ITS is proposed for pre-school curriculum that models the domain using Resource Description Framework Schema (RDFS). In present work formal details of domain or knowledge modeling are provided and demonstrated the application of proposed modeling with the prototype results. Proposed domain modeling approach provides ease to both development activities and user friendly interface; also it models a complete and consistent domain.
Keywords :
expert systems; intelligent tutoring systems; teaching; user interfaces; ITS development requirement; ITS user friendly interface; RDFS; artificial intelligence domain; domain knowledge; domain modeling; expert system; intelligent tutoring system; knowledge modeling; learning; modern education; pedagogical activity; preschool curriculum; resource description framework schema; software development activity; teaching; Artificial intelligence; Data models; Educational institutions; Prototypes; Resource description framework; Software; Intelligent tutoring system; RDF/RDFS; preschool education;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer & Information Science (ICCIS), 2012 International Conference on
Conference_Location :
Kuala Lumpeu
Print_ISBN :
978-1-4673-1937-9
Type :
conf
DOI :
10.1109/ICCISci.2012.6297262
Filename :
6297262
Link To Document :
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