Design and development of e-learning environment for deaf students in learning nuclear energy

This research aims to develop an e-learning environment for deaf students in learning Nuclear Energy. The performance level of deaf students, as well as learning patterns that have emerged from their activities within the developed e-learning environment were examined. This research utilizes a quant...

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Main Author:	Mohd. Hashim, Mohd. Hisyamuddin
Format:	Thesis
Language:	English
Published:	2016
Subjects:	LB Theory and practice of education
Online Access:	http://eprints.utm.my/id/eprint/78768/1/MohdHisyamuddinMohdPFP2016.pdf
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spelling	my-utm-ep.787682018-09-17T04:08:36Z Design and development of e-learning environment for deaf students in learning nuclear energy 2016-09 Mohd. Hashim, Mohd. Hisyamuddin LB Theory and practice of education This research aims to develop an e-learning environment for deaf students in learning Nuclear Energy. The performance level of deaf students, as well as learning patterns that have emerged from their activities within the developed e-learning environment were examined. This research utilizes a quantitative research design by using questionnaires and performance tests, as well as additional qualitative data from interviews. Data was attained from two different sets of questionnaires, the log data files from the e-learning, performance tests, and the interview sessions. Questionnaires were initially distributed to 52 deaf students from a school in Johor Bahru to examine their e-learning readiness. Next, an e-learning environment for the deaf students was developed with the implementation of sign language videos as the main feature. The same 52 deaf students were given another questionnaire to examine the usability and motivation to learn using the developed e-learning environment. After that, 20 Form four deaf students were involved in using the developed e-learning environment in order to examine their performance and learning patterns that emerged from their activities within the e-learning environment. Data were analyzed through descriptive analysis (mean and standard deviation), inferential analysis (paired-samples t-test, effect size, and power analysis) and data mining (decision tree). Data mining analysis using the decision tree technique was used to examine the learning patterns by the deaf students when using the developed e-learning environment based on their performance level. The results from descriptive analysis show that the deaf students have a moderate level of elearning readiness, as well as the usability and motivation to learn using the developed e-learning environment. The results from the paired-samples t-test show that there is a statistically significant difference between the pre-test and the post-test scores (p<0.05). The meta-analysis of the t-test shows that the treatment has a large effect size on the deaf students’ performance, while the results from the power analysis show that if this treatment is repeated, similar results will be acquired. Eleven learning patterns were emerged based on three increment categories of the deaf students’ performance. This research found that the learning patterns of deaf students who achieved the best increment category of performance accessed the sign language videos more frequently compared to other deaf students. 2016-09 Thesis http://eprints.utm.my/id/eprint/78768/ http://eprints.utm.my/id/eprint/78768/1/MohdHisyamuddinMohdPFP2016.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:106299 phd doctoral Universiti Teknologi Malaysia, Faculty of Education Faculty of Education
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	LB Theory and practice of education
spellingShingle	LB Theory and practice of education Mohd. Hashim, Mohd. Hisyamuddin Design and development of e-learning environment for deaf students in learning nuclear energy
description	This research aims to develop an e-learning environment for deaf students in learning Nuclear Energy. The performance level of deaf students, as well as learning patterns that have emerged from their activities within the developed e-learning environment were examined. This research utilizes a quantitative research design by using questionnaires and performance tests, as well as additional qualitative data from interviews. Data was attained from two different sets of questionnaires, the log data files from the e-learning, performance tests, and the interview sessions. Questionnaires were initially distributed to 52 deaf students from a school in Johor Bahru to examine their e-learning readiness. Next, an e-learning environment for the deaf students was developed with the implementation of sign language videos as the main feature. The same 52 deaf students were given another questionnaire to examine the usability and motivation to learn using the developed e-learning environment. After that, 20 Form four deaf students were involved in using the developed e-learning environment in order to examine their performance and learning patterns that emerged from their activities within the e-learning environment. Data were analyzed through descriptive analysis (mean and standard deviation), inferential analysis (paired-samples t-test, effect size, and power analysis) and data mining (decision tree). Data mining analysis using the decision tree technique was used to examine the learning patterns by the deaf students when using the developed e-learning environment based on their performance level. The results from descriptive analysis show that the deaf students have a moderate level of elearning readiness, as well as the usability and motivation to learn using the developed e-learning environment. The results from the paired-samples t-test show that there is a statistically significant difference between the pre-test and the post-test scores (p<0.05). The meta-analysis of the t-test shows that the treatment has a large effect size on the deaf students’ performance, while the results from the power analysis show that if this treatment is repeated, similar results will be acquired. Eleven learning patterns were emerged based on three increment categories of the deaf students’ performance. This research found that the learning patterns of deaf students who achieved the best increment category of performance accessed the sign language videos more frequently compared to other deaf students.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mohd. Hashim, Mohd. Hisyamuddin
author_facet	Mohd. Hashim, Mohd. Hisyamuddin
author_sort	Mohd. Hashim, Mohd. Hisyamuddin
title	Design and development of e-learning environment for deaf students in learning nuclear energy
title_short	Design and development of e-learning environment for deaf students in learning nuclear energy
title_full	Design and development of e-learning environment for deaf students in learning nuclear energy
title_fullStr	Design and development of e-learning environment for deaf students in learning nuclear energy
title_full_unstemmed	Design and development of e-learning environment for deaf students in learning nuclear energy
title_sort	design and development of e-learning environment for deaf students in learning nuclear energy
granting_institution	Universiti Teknologi Malaysia, Faculty of Education
granting_department	Faculty of Education
publishDate	2016
url	http://eprints.utm.my/id/eprint/78768/1/MohdHisyamuddinMohdPFP2016.pdf
_version_	1747818066543116288

Design and development of e-learning environment for deaf students in learning nuclear energy

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