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

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. Key-Words: Human-Computer Interaction; Intelligent Mobile Tutoring Systems; Handwriting Difficulty; Improving Classroom Teaching; Interactive Learning Environments; Artificial Mobile System