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
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English
Published: 2021
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spelling my.uthm.eprints.9922021-08-22T08:07:06Z http://eprints.uthm.edu.my/992/ Development of assessment tool for dyslexia screening using fuzzy logic 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 NonPeerReviewed text en http://eprints.uthm.edu.my/992/1/24p%20NG%20LI%20MUN.pdf text en http://eprints.uthm.edu.my/992/2/NG%20LI%20MUN%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/992/3/NG%20LI%20MUN%20WATERMARK.pdf Ng, Li Mun (2021) Development of assessment tool for dyslexia screening using fuzzy logic. Masters thesis, Universiti Tun Hussein Onn Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
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
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
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
http://eprints.uthm.edu.my/992/
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