Development of assessment tool for dyslexia screening using fuzzy logic

Dyslexia is a specific reading difficulty leading to low proficiency in an individual's literacy, affecting 5 to 17.5 % of the population globally and 5 to 15 % of Malaysia's children. The current dyslexia screening test known as Ujian Pengesanan Awal Disleksia Bahasa Melayu (D-Test) is ad...

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Main Author:	Ng, Li Mun
Format:	Thesis
Language:	English English English
Published:	2021
Subjects:	TK1001-1841 Production of electric energy or power Powerplants Central stations
Online Access:	http://eprints.uthm.edu.my/992/1/24p%20NG%20LI%20MUN.pdf http://eprints.uthm.edu.my/992/2/NG%20LI%20MUN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/992/3/NG%20LI%20MUN%20WATERMARK.pdf
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spelling	my-uthm-ep.9922021-08-22T08:07:06Z Development of assessment tool for dyslexia screening using fuzzy logic 2021-02 Ng, Li Mun TK1001-1841 Production of electric energy or power. Powerplants. Central stations Dyslexia is a specific reading difficulty leading to low proficiency in an individual's literacy, affecting 5 to 17.5 % of the population globally and 5 to 15 % of Malaysia's children. The current dyslexia screening test known as Ujian Pengesanan Awal Disleksia Bahasa Melayu (D-Test) is administrated manually, and the decision to determine dyslexia risk is time-consuming. Hence, this research's main objective is to develop an assessment tool by implementing fuzzy logic for rapid dyslexia risk outcomes using D-Test as the primary screening framework. The Mamdani-type Fuzzy Inference System (FIS) was developed based on 48 rule conditions, whereas the user interface was built using MATLAB App Designer. The developed assessment tool's performance was evaluated based on quantitative (accuracy, sensitivity, specificity, and precision), qualitative (Technology Acceptance Model (TAM)), and system response time assessments. Phase I study was conducted using the D-Test, and Phase II was carried out using the developed assessment tool with the recruitment of school pupils (nPhase I=117 and nPhase II=74) and teachers (n=29), respectively. The outcome from the quantitative results from Phase I and Phase II demonstrated the capability of fuzzy logic to distinguish between dyslexic and non-dyslexic subjects with an accuracy of 88.89 % and 93.24 %, respectively. Meanwhile, the finding from the qualitative approach investigated using showed the perceptions of external control (R2 =0.575, p<0.05) and perceived usefulness (R2 =0.675, p<0.05) were significantly influencing the behavioural intention of the target users towards the developed dyslexia assessment tool. The final finding on the system response time highlighted the developed tool's capability to improve the time taken when determining the dyslexia risk level (15 seconds per subject). In conclusion, the assessment tool for a rapid dyslexia risk status utilising Mamdani-type FIS had been successfully developed. The developed dyslexia assessment tool could be beneficial to assist dyslexia organisations, parents and school teachers in dyslexia screening process. 2021-02 Thesis http://eprints.uthm.edu.my/992/ http://eprints.uthm.edu.my/992/1/24p%20NG%20LI%20MUN.pdf text en public http://eprints.uthm.edu.my/992/2/NG%20LI%20MUN%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/992/3/NG%20LI%20MUN%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK1001-1841 Production of electric energy or power Powerplants Central stations
spellingShingle	TK1001-1841 Production of electric energy or power Powerplants Central stations Ng, Li Mun Development of assessment tool for dyslexia screening using fuzzy logic
description	Dyslexia is a specific reading difficulty leading to low proficiency in an individual's literacy, affecting 5 to 17.5 % of the population globally and 5 to 15 % of Malaysia's children. The current dyslexia screening test known as Ujian Pengesanan Awal Disleksia Bahasa Melayu (D-Test) is administrated manually, and the decision to determine dyslexia risk is time-consuming. Hence, this research's main objective is to develop an assessment tool by implementing fuzzy logic for rapid dyslexia risk outcomes using D-Test as the primary screening framework. The Mamdani-type Fuzzy Inference System (FIS) was developed based on 48 rule conditions, whereas the user interface was built using MATLAB App Designer. The developed assessment tool's performance was evaluated based on quantitative (accuracy, sensitivity, specificity, and precision), qualitative (Technology Acceptance Model (TAM)), and system response time assessments. Phase I study was conducted using the D-Test, and Phase II was carried out using the developed assessment tool with the recruitment of school pupils (nPhase I=117 and nPhase II=74) and teachers (n=29), respectively. The outcome from the quantitative results from Phase I and Phase II demonstrated the capability of fuzzy logic to distinguish between dyslexic and non-dyslexic subjects with an accuracy of 88.89 % and 93.24 %, respectively. Meanwhile, the finding from the qualitative approach investigated using showed the perceptions of external control (R2 =0.575, p<0.05) and perceived usefulness (R2 =0.675, p<0.05) were significantly influencing the behavioural intention of the target users towards the developed dyslexia assessment tool. The final finding on the system response time highlighted the developed tool's capability to improve the time taken when determining the dyslexia risk level (15 seconds per subject). In conclusion, the assessment tool for a rapid dyslexia risk status utilising Mamdani-type FIS had been successfully developed. The developed dyslexia assessment tool could be beneficial to assist dyslexia organisations, parents and school teachers in dyslexia screening process.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ng, Li Mun
author_facet	Ng, Li Mun
author_sort	Ng, Li Mun
title	Development of assessment tool for dyslexia screening using fuzzy logic
title_short	Development of assessment tool for dyslexia screening using fuzzy logic
title_full	Development of assessment tool for dyslexia screening using fuzzy logic
title_fullStr	Development of assessment tool for dyslexia screening using fuzzy logic
title_full_unstemmed	Development of assessment tool for dyslexia screening using fuzzy logic
title_sort	development of assessment tool for dyslexia screening using fuzzy logic
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Electrical and Electronic Engineering
publishDate	2021
url	http://eprints.uthm.edu.my/992/1/24p%20NG%20LI%20MUN.pdf http://eprints.uthm.edu.my/992/2/NG%20LI%20MUN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/992/3/NG%20LI%20MUN%20WATERMARK.pdf
_version_	1747830724840390656

Development of assessment tool for dyslexia screening using fuzzy logic

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