Assimilating e-learning barriers using an interpretive structural modelling (ISM)

Nowadays, E-learning becomes a preferable medium for learning. Digital technology has made it more attractive and useful with additional user-friendly features. Basically, E-learning invloves massive infrastructure resources to operate. It also includes the effective combination of hardware and soft...

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Main Authors: Naveed, Quadri Noorulhasan, N. Qureshi, Mohamed Rafik, Alsayed, Alhuseen O., Ahmad, Naim, Sanober, Sumaya, Shah, Asadullah
Format: Proceeding Paper
Language:English
English
Published: IEEE 2017
Subjects:
Online Access:http://irep.iium.edu.my/62394/
http://irep.iium.edu.my/62394/1/62394_Assimilating%20E-Learning%20barriers.pdf
http://irep.iium.edu.my/62394/7/62394_Assimilating%20E-Learning%20barriers%20using%20an%20interpretive_scopus.pdf
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author Naveed, Quadri Noorulhasan
N. Qureshi, Mohamed Rafik
Alsayed, Alhuseen O.
Ahmad, Naim
Sanober, Sumaya
Shah, Asadullah
author_facet Naveed, Quadri Noorulhasan
N. Qureshi, Mohamed Rafik
Alsayed, Alhuseen O.
Ahmad, Naim
Sanober, Sumaya
Shah, Asadullah
author_sort Naveed, Quadri Noorulhasan
building IIUM Repository
collection Online Access
description Nowadays, E-learning becomes a preferable medium for learning. Digital technology has made it more attractive and useful with additional user-friendly features. Basically, E-learning invloves massive infrastructure resources to operate. It also includes the effective combination of hardware and software along with the involvement of individuals to make the system successful for the students. Since the studnets and teachers have become agile using state-of-the-art communication technology in teaching learning process, they look for the efficient and smooth knowledge transfer. Many researchers have encountered the barriers for the successful implementations of E-Learning in the universities. There is little research that uncovers the interaction of E-Learning in the universities. There is little research that uncovers the interaction of E-Learning barriers. The present study aims to provide the interpretive structure modelling (ISM) and matrices d'impacts Croise's Multiplication Applique'e a' un Classement (MICMAC) based analysis to study such barriers of E-learning. A digraph representation ISM model has been established to help the stakeholders to understand the barriers to successful implementations of E-learning implementations of E-learning.
first_indexed 2025-11-14T16:59:28Z
format Proceeding Paper
id iium-62394
institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T16:59:28Z
publishDate 2017
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling iium-623942018-10-19T08:47:37Z http://irep.iium.edu.my/62394/ Assimilating e-learning barriers using an interpretive structural modelling (ISM) Naveed, Quadri Noorulhasan N. Qureshi, Mohamed Rafik Alsayed, Alhuseen O. Ahmad, Naim Sanober, Sumaya Shah, Asadullah T10.5 Communication of technical information Nowadays, E-learning becomes a preferable medium for learning. Digital technology has made it more attractive and useful with additional user-friendly features. Basically, E-learning invloves massive infrastructure resources to operate. It also includes the effective combination of hardware and software along with the involvement of individuals to make the system successful for the students. Since the studnets and teachers have become agile using state-of-the-art communication technology in teaching learning process, they look for the efficient and smooth knowledge transfer. Many researchers have encountered the barriers for the successful implementations of E-Learning in the universities. There is little research that uncovers the interaction of E-Learning in the universities. There is little research that uncovers the interaction of E-Learning barriers. The present study aims to provide the interpretive structure modelling (ISM) and matrices d'impacts Croise's Multiplication Applique'e a' un Classement (MICMAC) based analysis to study such barriers of E-learning. A digraph representation ISM model has been established to help the stakeholders to understand the barriers to successful implementations of E-learning implementations of E-learning. IEEE 2017-11-03 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/62394/1/62394_Assimilating%20E-Learning%20barriers.pdf application/pdf en http://irep.iium.edu.my/62394/7/62394_Assimilating%20E-Learning%20barriers%20using%20an%20interpretive_scopus.pdf Naveed, Quadri Noorulhasan and N. Qureshi, Mohamed Rafik and Alsayed, Alhuseen O. and Ahmad, Naim and Sanober, Sumaya and Shah, Asadullah (2017) Assimilating e-learning barriers using an interpretive structural modelling (ISM). In: 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 29th Nov. - 1st Dec. 2017, Salmabad, Bahrain. http://ieeexplore.ieee.org/abstract/document/8277852/?reload=true
spellingShingle T10.5 Communication of technical information
Naveed, Quadri Noorulhasan
N. Qureshi, Mohamed Rafik
Alsayed, Alhuseen O.
Ahmad, Naim
Sanober, Sumaya
Shah, Asadullah
Assimilating e-learning barriers using an interpretive structural modelling (ISM)
title Assimilating e-learning barriers using an interpretive structural modelling (ISM)
title_full Assimilating e-learning barriers using an interpretive structural modelling (ISM)
title_fullStr Assimilating e-learning barriers using an interpretive structural modelling (ISM)
title_full_unstemmed Assimilating e-learning barriers using an interpretive structural modelling (ISM)
title_short Assimilating e-learning barriers using an interpretive structural modelling (ISM)
title_sort assimilating e-learning barriers using an interpretive structural modelling (ism)
topic T10.5 Communication of technical information
url http://irep.iium.edu.my/62394/
http://irep.iium.edu.my/62394/
http://irep.iium.edu.my/62394/1/62394_Assimilating%20E-Learning%20barriers.pdf
http://irep.iium.edu.my/62394/7/62394_Assimilating%20E-Learning%20barriers%20using%20an%20interpretive_scopus.pdf