Diagnosing Learning Disabilities in a Special Education By an Intelligent Agent Based System
K. ElSayed. International Journal of Advanced Computer Science and Applications(IJACSA), (2013)
Abstract
The presented paper provides an intelligent agent based classification system for diagnosing and evaluation of learning disabilities with special education students. It provides pedagogy psychology profiles for those students and offer solution strategies with the best educational activities. It provides tools that allow class teachers to discuss psycho functions and basic skills for learning skills, then, performs psycho pedagogy evaluation by comprising a series of strategies in a semantic network knowledge base. The system’s agent performs its classification of student’s disabilities based on its past experience that it got from the exemplars that were classified by expert and acquired in its knowledge base.
%0 Journal Article
%1 IJACSA.2013.040321
%A ElSayed, Khaled Nasser
%D 2013
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K Agent; Based Classification Disabilities; Education; Evaluation; Exemplar Intelligent Learning Network; Pedagogy Psych Semantic Special
%N 3
%T Diagnosing Learning Disabilities in a Special Education By an Intelligent Agent Based System
%U http://ijacsa.thesai.org/
%V 4
%X The presented paper provides an intelligent agent based classification system for diagnosing and evaluation of learning disabilities with special education students. It provides pedagogy psychology profiles for those students and offer solution strategies with the best educational activities. It provides tools that allow class teachers to discuss psycho functions and basic skills for learning skills, then, performs psycho pedagogy evaluation by comprising a series of strategies in a semantic network knowledge base. The system’s agent performs its classification of student’s disabilities based on its past experience that it got from the exemplars that were classified by expert and acquired in its knowledge base.
@article{IJACSA.2013.040321,
abstract = {The presented paper provides an intelligent agent based classification system for diagnosing and evaluation of learning disabilities with special education students. It provides pedagogy psychology profiles for those students and offer solution strategies with the best educational activities. It provides tools that allow class teachers to discuss psycho functions and basic skills for learning skills, then, performs psycho pedagogy evaluation by comprising a series of strategies in a semantic network knowledge base. The system’s agent performs its classification of student’s disabilities based on its past experience that it got from the exemplars that were classified by expert and acquired in its knowledge base.},
added-at = {2014-02-21T08:00:08.000+0100},
author = {ElSayed, Khaled Nasser},
biburl = {https://www.bibsonomy.org/bibtex/2d086e01f1bea4bb5ef324e054b17da6a/thesaiorg},
interhash = {f39b4efd70bbf3a82c2589e09ee0ecbb},
intrahash = {d086e01f1bea4bb5ef324e054b17da6a},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {Agent; Based Classification Disabilities; Education; Evaluation; Exemplar Intelligent Learning Network; Pedagogy Psych Semantic Special},
number = 3,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{Diagnosing Learning Disabilities in a Special Education By an Intelligent Agent Based System}},
url = {http://ijacsa.thesai.org/},
volume = 4,
year = 2013
}