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An Intelligent Agent Tutor System for Detecting Arabic Children Handwriting Difficulty Based on Immediate Feedback

WSEAS TRANSACTIONS on SYSTEMS • 2016
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Publication Information
Authors Ahmed El-Sawy, Hazem El-Bakry, Mohamed Loey
Keywords Human-Computer Interaction, Intelligent Mobile Tutoring Systems, Handwriting Difficulty, Improving Classroom Teaching, Interactive Learning Environments, Artificial Mobile System
Journal WSEAS TRANSACTIONS on SYSTEMS
Publisher WSEAS TRANSACTIONS
Volume 15
Issue Not Available
Pages 63-72
publication.type International
Paper Link Open Link
Supplementary Materials Not Available
Abstract
In this paper, an intelligent tutor application is built for Arabic preschool children called Arab Handwritten Children Educator (AHCE). AHCE allows Arab children to do practice at anytime and anywhere. As an intelligent tutor, the AHCE can automatically check the handwriting errors, such as stroke sequence errors, stroke direction error, stroke position error, and extra stroke errors. The AHCE provide a useful feedback to Arab children to correct their mistakes. In this paper, attributed mathematics and agents are used to locate the handwritten errors. The system applies a fuzzy approach to evaluate Arabic children handwriting. Experimental results indicate that the proposed intelligent system successfully detect handwriting strokes errors with immediate feedback.