ESSE: learning disability classification system for Autism and Dyslexia

Yusoff, N.M.; Wahab, M.H.A.; Aziz, M.A.; Asha'ari, F.J. (2009) ESSE: learning disability classification system for Autism and Dyslexia. In: 5th International Conference on Universal Access in Human-Computer Interaction held at the HCI International 2009, JUL 19-24, 2009, San Diego, CA.

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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.

Item Type: Conference or Workshop Item (Paper)
  1. Yusoff, N.M.(University of Malaya)
  2. Wahab, M.H.A.
  3. Aziz, M.A.
  4. Asha'ari, F.J.
Additional Information: Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur, Malaysia
Uncontrolled Keywords: Qualifiers; Choice; Autism; Dyslexia; Knowledge Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Mr. Faizal Hamzah
Date Deposited: 27 Oct 2011 09:47
Last Modified: 21 Dec 2014 15:52

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