Classification of the effectiveness of ICT integration in teaching and learning using data mining based on AHP methods

Information and Communication Technology (ICT) is a medium that people rely on daily to receive information via a specific application. The Ministry of Education in Malaysia has widely integrated ICT into the education system since 1990s. However, ICT is still not fully implemented due to some obsta...

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Main Author:	Teoh, Siew Chin
Format:	Thesis
Language:	eng eng eng
Published:	2023
Subjects:	T58.5-58.64 Information technology
Online Access:	https://etd.uum.edu.my/10742/1/permission%20to%20deposit-embargo%206%20months-s826244.pdf https://etd.uum.edu.my/10742/2/s826244_01.pdf https://etd.uum.edu.my/10742/3/s826244_02.pdf
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id	my-uum-etd.10742
record_format	uketd_dc
spelling	my-uum-etd.107422023-11-26T02:14:23Z Classification of the effectiveness of ICT integration in teaching and learning using data mining based on AHP methods 2023 Teoh, Siew Chin Ch'ng, Chee Keong Zaibidi, Nerda Zura Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Art & Sciences T58.5-58.64 Information technology LB1603 Secondary Education. High schools Information and Communication Technology (ICT) is a medium that people rely on daily to receive information via a specific application. The Ministry of Education in Malaysia has widely integrated ICT into the education system since 1990s. However, ICT is still not fully implemented due to some obstacles such as lack of sufficient training, time, ICT resources and infrastructure. Therefore, the purpose of this research is to analyze and rank the factors that impede the integration of ICT in urban and rural secondary schools using the Analytic Hierarchy Process (AHP) approach, as well as to determine the significant difference between factors in urban and rural areas by using t-test analysis. In conjunction with the outputs, several predictive models are then developed to classify the students’ academic performance in urban and rural areas using Data Mining techniques. The respondents for this study are secondary school teachers in the Malaysian state of Kedah. For the first phase, 51 teachers were chosen to complete the questionnaire. A total of 238 teachers were chosen for the second phase. The hypothesis testing showed that there is no significant difference between the factors in both areas. The top three factors are workload (13.46%), lack of accessibility and network connection (13.25%), and lack of support assistance (12.09%). The result gained was used to develop several predictive models and the best model was selected for classifying the students’ academic performance. The Decision Tree (cross-validation) outperformed the other models with a misclassification rate of 32.98% (urban) and 16% (rural). The developed predictive model can be used by Ministry of Education or policymaker to plan national educational policies whilst implement a better strategy for educational development based on government policies and the Education Act. 2023 Thesis https://etd.uum.edu.my/10742/ https://etd.uum.edu.my/10742/1/permission%20to%20deposit-embargo%206%20months-s826244.pdf text eng 2024-02-22 staffonly https://etd.uum.edu.my/10742/2/s826244_01.pdf text eng 2024-02-22 staffonly https://etd.uum.edu.my/10742/3/s826244_02.pdf text eng public other masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng eng
advisor	Ch'ng, Chee Keong Zaibidi, Nerda Zura
topic	T58.5-58.64 Information technology T58.5-58.64 Information technology
spellingShingle	T58.5-58.64 Information technology T58.5-58.64 Information technology Teoh, Siew Chin Classification of the effectiveness of ICT integration in teaching and learning using data mining based on AHP methods
description	Information and Communication Technology (ICT) is a medium that people rely on daily to receive information via a specific application. The Ministry of Education in Malaysia has widely integrated ICT into the education system since 1990s. However, ICT is still not fully implemented due to some obstacles such as lack of sufficient training, time, ICT resources and infrastructure. Therefore, the purpose of this research is to analyze and rank the factors that impede the integration of ICT in urban and rural secondary schools using the Analytic Hierarchy Process (AHP) approach, as well as to determine the significant difference between factors in urban and rural areas by using t-test analysis. In conjunction with the outputs, several predictive models are then developed to classify the students’ academic performance in urban and rural areas using Data Mining techniques. The respondents for this study are secondary school teachers in the Malaysian state of Kedah. For the first phase, 51 teachers were chosen to complete the questionnaire. A total of 238 teachers were chosen for the second phase. The hypothesis testing showed that there is no significant difference between the factors in both areas. The top three factors are workload (13.46%), lack of accessibility and network connection (13.25%), and lack of support assistance (12.09%). The result gained was used to develop several predictive models and the best model was selected for classifying the students’ academic performance. The Decision Tree (cross-validation) outperformed the other models with a misclassification rate of 32.98% (urban) and 16% (rural). The developed predictive model can be used by Ministry of Education or policymaker to plan national educational policies whilst implement a better strategy for educational development based on government policies and the Education Act.
format	Thesis
qualification_name	other
qualification_level	Master's degree
author	Teoh, Siew Chin
author_facet	Teoh, Siew Chin
author_sort	Teoh, Siew Chin
title	Classification of the effectiveness of ICT integration in teaching and learning using data mining based on AHP methods
title_short	Classification of the effectiveness of ICT integration in teaching and learning using data mining based on AHP methods
title_full	Classification of the effectiveness of ICT integration in teaching and learning using data mining based on AHP methods
title_fullStr	Classification of the effectiveness of ICT integration in teaching and learning using data mining based on AHP methods
title_full_unstemmed	Classification of the effectiveness of ICT integration in teaching and learning using data mining based on AHP methods
title_sort	classification of the effectiveness of ict integration in teaching and learning using data mining based on ahp methods
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2023
url	https://etd.uum.edu.my/10742/1/permission%20to%20deposit-embargo%206%20months-s826244.pdf https://etd.uum.edu.my/10742/2/s826244_01.pdf https://etd.uum.edu.my/10742/3/s826244_02.pdf
_version_	1783729421581025280

Classification of the effectiveness of ICT integration in teaching and learning using data mining based on AHP methods

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