Proposal for ontology based approach to fuzzy student model design

Citation

Muhammad Sani, Salisu and Mohd Aris, Teh Noranis (2014) Proposal for ontology based approach to fuzzy student model design. In: Fifth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2014), 27-29 Jan. 2014, Langkawi, Kedah, Malaysia. (pp. 35-37).

Abstract

Intelligent tutoring system (ITS) is a software system designed using artificial intelligent techniques (comprising of Fuzzy Logic, Neural-Networks, Bayesian networks, Ontology, Genetic Algorithms and Software Agents) to provide an adaptive and personalized tutoring suitable to each individual student based on his/her profile or characteristics. In this paper we intend to employ the use of Fuzzy logic and Ontology techniques to model the student's learning behaviour with the aim of improving the learning path and increase the system's adaptability. The use of fuzzy logic in this context is to enable the computational analysis of the student's characteristics and learning behaviours in order to handle the uncertainty issues related to the student model design. Ontology is a vital tool for managing knowledge in a particular domain and is one of the recent techniques used to design the representation of student's cognitive state.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/ISMS.2014.14
Publisher:	IEEE
Keywords:	ITS; Fuzzy logic; Ontology; Student model
Depositing User:	Nabilah Mustapa
Date Deposited:	03 Sep 2018 04:03
Last Modified:	03 Sep 2018 04:03
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ISMS.2014.14
URI:	http://psasir.upm.edu.my/id/eprint/64914
Statistic Details:	View Download Statistic

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