International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 103

Research Paper | Software Engineering | Nigeria | Volume 4 Issue 5, May 2015


Multi Agent Learning Styles Based Intelligent Tutoring System

Ifeanyi Isaiah Achi | Chukwuemeka Odi Agwu


Abstract: This paper explores a new approach of using the four learning styles to modeling the student in an intelligent tutoring system (ITS), by providing a student model which learns new solutions from the student by considering the four learning styles as the several paths to the student knowledge. This solution will be possible through the multiple-agent software built into this new system that will enable modeling of several possible solution paths when monitoring the student learning process and keeping track of the best path (learning styles) to the student-s solution. This capability is an improvement compared to the previous research reported in literature, using the different learning styles as a path to the student knowledge. The student model is extended by providing a learning module, which is capable of recognizing new solution provided by the student. These new solutions will now be included in the expert system knowledge base. Therefore in this paper, the concepts and implementation of the current ITS as well as the different modeling methods used will be explored. We exhaustively discussed the several learning styles, such as Auditory Learners (through hearing), Visual Learners (through seeing), Kinesthetic Learners (through touch or practice) and hybrid (combination of two or more) will be used as paths to students solution or path to students knowledge while modeling the student.


Keywords: Multi Agent System MAS, Intelligent Tutoring System ITS, Auditory Learners AL, Visual Learners VL, Kinesthetic Learners KL, hybrid Learners HL


Edition: Volume 4 Issue 5, May 2015,


Pages: 1522 - 1524

Multi Agent Learning Styles Based Intelligent Tutoring System


How to Cite this Article?

Ifeanyi Isaiah Achi, Chukwuemeka Odi Agwu, "Multi Agent Learning Styles Based Intelligent Tutoring System", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB154472, Volume 4 Issue 5, May 2015, 1522 - 1524, #ijsrnet

How to Share this Article?

Enter Your Email Address




Similar Articles with Keyword 'Multi'

Downloads: 89

Review Papers, Software Engineering, India, Volume 4 Issue 6, June 2015

Pages: 1991 - 1994

Methodologies and Technique for Software Agent

Kiran [224] | Vijay [453]

Share this Article

Downloads: 91

Research Paper, Software Engineering, India, Volume 3 Issue 9, September 2014

Pages: 2320 - 2324

Malware Seeker: A Network Intrusion Detection and Correlation Technique against Peer to Peer Botnet

A. Shameem | M. Parveentaj [5]

Share this Article


Top