2009 |
Yusoff, Mohd N; Wahab, Abdul M H; Aziz, M A; AshaÁri, Jalil F ESSE: Learning disability classification system for autism and dyslexia Artikel Jurnal Nota Kuliah dalam Sains Komputer (termasuk subseries Nota Kuliah dalam Artificial Intelligence dan Lecture Notes dalam Bioinformatics), 5614 LNCS (PART 1), hlm. 395-402, 2009, ISSN: 03029743, (dipetik oleh 2). Abstrak | Pautan | BibTeX | Tag: Autisme, Centralized Decision Making, Classification System, Membuat keputusan, Kesilapan, Sistem Pakar, Interaksi Komputer Manusia, Human Errors, Knowledge Engineering, Knowledge Management, Knowledge-Based Classification, Gangguan Pembelajaran, Malaysia, Pendidikan Khas, Mengajar @artikel{MohdYusoff2009395, tajuk = {ESSE: Learning disability classification system for autism and dyslexia}, pengarang = {N Mohd Yusoff and M H Abdul Wahab and M A Aziz and F Jalil AshaÁri}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-76249116153&doi=10.1007%2f978-3-642-02707-9_45&rakan kongsi = 40&md5=f51c6dd35a86b7eef7ee117d1daa41dd}, doi = {10.1007/978-3-642-02707-9_45}, terbitan = {03029743}, tahun = {2009}, tarikh = {2009-01-01}, jurnal = {Nota Kuliah dalam Sains Komputer (termasuk subseries Nota Kuliah dalam Artificial Intelligence dan Lecture Notes dalam Bioinformatics)}, isi padu = {5614 LNCS}, nombor = {PART 1}, halaman = {395-402}, abstrak = {This 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. Selain itu, 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. © 2009 Springer Berlin Heidelberg.}, nota = {dipetik oleh 2}, kata kunci = {Autisme, Centralized Decision Making, Classification System, Membuat keputusan, Kesilapan, Sistem Pakar, Interaksi Komputer Manusia, Human Errors, Knowledge Engineering, Knowledge Management, Knowledge-Based Classification, Gangguan Pembelajaran, Malaysia, Pendidikan Khas, Mengajar}, pubstate = {diterbitkan}, tppubtype = {artikel} } This 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. Selain itu, 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. © 2009 Springer Berlin Heidelberg. |
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2009 |
ESSE: Learning disability classification system for autism and dyslexia Artikel Jurnal Nota Kuliah dalam Sains Komputer (termasuk subseries Nota Kuliah dalam Artificial Intelligence dan Lecture Notes dalam Bioinformatics), 5614 LNCS (PART 1), hlm. 395-402, 2009, ISSN: 03029743, (dipetik oleh 2). |