NDLI: Computer-based learning model to improve learning of the malay language amongst dyslexic primary school students

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Computer-based learning model to improve learning of the malay language amongst dyslexic primary school students

Content Provider	ACM Digital Library
Author	Ghani, Abdul Azim Abdul Hamid, Siti Suhaila Abdul Admodisastro, Novia
Abstract	Computer-based learning model acts as an important supplement to traditional teaching method that commonly using pen, paper or any material, which apply multi-senses application for students with dyslexia. The need to improve learning style for students with dyslexia raised by many researchers, teachers and also parents. Students with dyslexia have poor fluency in reading, writing, spelling, short-term memory and also other related disorders. Additionally, they often suffer emotions like frustration and low self-esteem due to lack of achievement, which in the end develop behaviour difficulties. In this research, we proposed a computer-based learning model to address dyslexia language-based processing difficulties that considers both student's cognitive and emotion. The proposed model intended for students with dyslexia in primary school to learn the Malay language using the machine learning (ML) approach to provide an adaptive learning environment. This allows students with dyslexia to learn in ways that are tailored to suit a specific individual with minimal teacher intervention.
Starting Page	37
Ending Page	41
Page Count	5
File Format	PDF
ISBN	9781450340410
DOI	10.1145/2846439.2846448
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-12-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Behaviour Learning model Machine learning Dyslexia Cognitive
Content Type	Text
Resource Type	Article

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