Staff Members - Benha University
Arab Kids Tutor (AKT) System For Handwriting Stroke Errors Detection
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH • 2016
Publication Information
Authors
Ahmed El-Sawy, Mohamed Loey, Hazem EL-Bakry
Keywords
Interactive Learning Environments, Human-Computer Interface, Intelligent Tutoring Systems, Improving Classroom Teaching
Journal
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH
Publisher
Not Available
Volume
4
Issue
Not Available
Pages
42-49
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
This paper presents the architecture, components and evaluation of Arab kids tutor (AKT), an intelligent tutor system for learning
handwriting Arabic alphabets. Today, children suffer from handwriting difficulty, so tutors hope to get rid of negative impact of traditional learning
system. Our system contains an immediate feedback with error detection that can check multiple kinds of handwriting errors and provide an intelligent
feedback to our children. Moreover, AKT use freeman chain code and mathematical algorithms to detect order and direction errors. Through the work,
we indicate the children level of understanding of learning handwriting character using fuzzy sets. Experimental results indicate that the AKT
successfully detect handwriting strokes errors with automatic feedback.
handwriting Arabic alphabets. Today, children suffer from handwriting difficulty, so tutors hope to get rid of negative impact of traditional learning
system. Our system contains an immediate feedback with error detection that can check multiple kinds of handwriting errors and provide an intelligent
feedback to our children. Moreover, AKT use freeman chain code and mathematical algorithms to detect order and direction errors. Through the work,
we indicate the children level of understanding of learning handwriting character using fuzzy sets. Experimental results indicate that the AKT
successfully detect handwriting strokes errors with automatic feedback.