Resource Description Framework based intelligent tutoring system

Abbas, M.A. and Wan Ahmad, W.F. and Kalid, K.S. (2012) Resource Description Framework based intelligent tutoring system. In: UNSPECIFIED.

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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. © 2012 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 4; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334
Uncontrolled Keywords: Development activity; Domain knowledge; Domain modeling; Intelligent tutoring system; Knowledge modeling; Preschool education; RDF/RDFS; Real environments; Resource description framework; Resource description framework schemata; User friendly interface, Artificial intelligence; Computer aided instruction; Curricula; Expert systems; Information science; Technology, Education computing
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:51
Last Modified: 09 Nov 2023 15:51
URI: https://khub.utp.edu.my/scholars/id/eprint/2825

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