Restructuring of the e-Learning styles factors for technology training

The introduction of e-training and e-learning in Malaysia was a major step towards the democratisation of many aspects of education for diverse learners. Nevertheless, several surveys of blended or hybrid learning approaches showed some gaps in learning-style research involving the teaching and lear...

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Main Authors: Din, Rosseni, Kamarulzaman, M Faizal, M Shah, Parilah, Rahman, Saemah, Abdul Karim, Aidah, Omar, Rahilah, Aqsha Lubis, Maimun, Nordin, Mohamad Sahari, Zakaria, M Shanudin, Mastor, Khairul Anwar
Format: Article
Language:English
Published: IDOSI Publications 2011
Subjects:
Online Access:http://irep.iium.edu.my/8143/
http://irep.iium.edu.my/8143/
http://irep.iium.edu.my/8143/1/WASJ2011.pdf
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recordtype eprints
spelling iium-81432011-12-23T03:53:13Z http://irep.iium.edu.my/8143/ Restructuring of the e-Learning styles factors for technology training Din, Rosseni Kamarulzaman, M Faizal M Shah, Parilah Rahman, Saemah Abdul Karim, Aidah Omar, Rahilah Aqsha Lubis, Maimun Nordin, Mohamad Sahari Zakaria, M Shanudin Mastor, Khairul Anwar LC8 Forms of education The introduction of e-training and e-learning in Malaysia was a major step towards the democratisation of many aspects of education for diverse learners. Nevertheless, several surveys of blended or hybrid learning approaches showed some gaps in learning-style research involving the teaching and learning of technology. The initial framework of this study involved the construction of a questionnaire to assess the learning styles of technology trainees who had attended a hybrid e-training course. The questionnaire initially consisted of six factors that assessed learning styles in general. The factors were (i) visual, (ii) kinaesthetic (iii)auditory (iv) tactual, (v) individual and (vi) group-learning styles. The questionnaire was administered to 249 ICT trainers from the Faculty of Education, in one public university in Malaysia. After going through the process of principal-component analysis, learning styles for technology training were eventually classified into five factors with slightly different items and factor names, namely (i) visual, (ii) auditory, (iii) kinaesthetictactual,(iv) individual and (v) group. This paper shows how this process was carried out and further discusses the findings. IDOSI Publications 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/8143/1/WASJ2011.pdf Din, Rosseni and Kamarulzaman, M Faizal and M Shah, Parilah and Rahman, Saemah and Abdul Karim, Aidah and Omar, Rahilah and Aqsha Lubis, Maimun and Nordin, Mohamad Sahari and Zakaria, M Shanudin and Mastor, Khairul Anwar (2011) Restructuring of the e-Learning styles factors for technology training. World Applied Sciences Journal, 14 (Sp iss). pp. 44-50. ISSN 1818-4952 http://www.idosi.org/idosi.htm
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic LC8 Forms of education
spellingShingle LC8 Forms of education
Din, Rosseni
Kamarulzaman, M Faizal
M Shah, Parilah
Rahman, Saemah
Abdul Karim, Aidah
Omar, Rahilah
Aqsha Lubis, Maimun
Nordin, Mohamad Sahari
Zakaria, M Shanudin
Mastor, Khairul Anwar
Restructuring of the e-Learning styles factors for technology training
description The introduction of e-training and e-learning in Malaysia was a major step towards the democratisation of many aspects of education for diverse learners. Nevertheless, several surveys of blended or hybrid learning approaches showed some gaps in learning-style research involving the teaching and learning of technology. The initial framework of this study involved the construction of a questionnaire to assess the learning styles of technology trainees who had attended a hybrid e-training course. The questionnaire initially consisted of six factors that assessed learning styles in general. The factors were (i) visual, (ii) kinaesthetic (iii)auditory (iv) tactual, (v) individual and (vi) group-learning styles. The questionnaire was administered to 249 ICT trainers from the Faculty of Education, in one public university in Malaysia. After going through the process of principal-component analysis, learning styles for technology training were eventually classified into five factors with slightly different items and factor names, namely (i) visual, (ii) auditory, (iii) kinaesthetictactual,(iv) individual and (v) group. This paper shows how this process was carried out and further discusses the findings.
format Article
author Din, Rosseni
Kamarulzaman, M Faizal
M Shah, Parilah
Rahman, Saemah
Abdul Karim, Aidah
Omar, Rahilah
Aqsha Lubis, Maimun
Nordin, Mohamad Sahari
Zakaria, M Shanudin
Mastor, Khairul Anwar
author_facet Din, Rosseni
Kamarulzaman, M Faizal
M Shah, Parilah
Rahman, Saemah
Abdul Karim, Aidah
Omar, Rahilah
Aqsha Lubis, Maimun
Nordin, Mohamad Sahari
Zakaria, M Shanudin
Mastor, Khairul Anwar
author_sort Din, Rosseni
title Restructuring of the e-Learning styles factors for technology training
title_short Restructuring of the e-Learning styles factors for technology training
title_full Restructuring of the e-Learning styles factors for technology training
title_fullStr Restructuring of the e-Learning styles factors for technology training
title_full_unstemmed Restructuring of the e-Learning styles factors for technology training
title_sort restructuring of the e-learning styles factors for technology training
publisher IDOSI Publications
publishDate 2011
url http://irep.iium.edu.my/8143/
http://irep.iium.edu.my/8143/
http://irep.iium.edu.my/8143/1/WASJ2011.pdf
first_indexed 2023-09-18T20:17:47Z
last_indexed 2023-09-18T20:17:47Z
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