ESSE: learning disability classification system for Autism and Dyslexia

• Main Authors: Yusoff, N.M., Wahab, M.H.A., Aziz, M.A., Asha'ari, F.J.
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/2264/; http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=Refine&qid=2&SID=S2JAaCCclb2paEPdJbK&page=17&doc=161&cacheurlFromRightClick=no

his paper presents an Expert System for Special Education (ESSE) based on scenario in Malaysia. This system is developed through the process of knowledge-gaining which is gathered from various expertise in chosen domain. Realizing the limitation of traditional classification system that teachers adopted, we developed ESSE to automate a centralized decision making system. ESSE is also able to provide consistent answers for repetitive decisions, processes and tasks. Besides, teachers using this system hold and maintain significant level of information pertaining both learning disabilities, thus reduce amount of human errors. ESSE knowledge-based resulted from the knowledge engineering called Qualifiers and Choice. Both are gathered from the analysis of symptoms that are experienced by Autism and Dyslexia patients. Every type of disability is divided to several categories and sub-category to facilitate question's arrangement. This paper presents a review of Expert System for Special Education (ESSE), problems arises and the knowledge-based classification systems.