Developing a Cloud-Based Mobile Learning Adoption Model to Promote Sustainable Education

Education plays a very significant role in the context of sustainability. As the world population is growing, providing education through the traditional classroom setting is not sufficient and not feasible to extend learning in professional life. Therefore, modern technology-mediated learning parad...

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Main Authors: Naim Ahmad, Najmul Hoda, Fahad Alahmari
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/8/3126
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spelling doaj-e719819346ff48e7b2620ced810ff0572020-11-25T03:49:39ZengMDPI AGSustainability2071-10502020-04-01123126312610.3390/su12083126Developing a Cloud-Based Mobile Learning Adoption Model to Promote Sustainable EducationNaim Ahmad0Najmul Hoda1Fahad Alahmari2Department of Information Systems, King Khalid University, Abha 62529, Saudi ArabiaDepartment of Business Administration, Umm Al-Qura University, Makkah 21955, Saudi ArabiaDepartment of Information Systems, King Khalid University, Abha 62529, Saudi ArabiaEducation plays a very significant role in the context of sustainability. As the world population is growing, providing education through the traditional classroom setting is not sufficient and not feasible to extend learning in professional life. Therefore, modern technology-mediated learning paradigms such as mobile learning are becoming increasingly popular. Mobile learning is said to integrate multiple contexts, learning types, mobilities and communications. As information and communications technology (ICT) plays a vital role in the delivery of mobile learning services, it is very essential to adopt sustainable IT resources to keep it viable. Cloud computing offers a range of affordable, scalable and on-demand solutions. This paper attempts to model important critical success factors (CSFs) in the area of cloud-based mobile learning using the interpretive structural modeling (ISM) technique. ISM helps in identifying the hierarchical inter-relationships between the variables of study with the help of experts in the field. Finally, Matrice d’Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) analysis is employed to classify the variables into dependent and independent variables. Management support has been identified as most rudimentary among sixteen CSFs identified through a literature review to establish a distinguished relative advantage. Further, the paper discusses the theoretical underpinning of all the constructs. This study will help organizations to implement mobile learning in sustainable ways.https://www.mdpi.com/2071-1050/12/8/3126mobile learningcritical success factors (CSFs)interpretive structural modeling (ISM)Matrice d’Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC)cloud-based adoption model
collection DOAJ
language English
format Article
sources DOAJ
author Naim Ahmad
Najmul Hoda
Fahad Alahmari
spellingShingle Naim Ahmad
Najmul Hoda
Fahad Alahmari
Developing a Cloud-Based Mobile Learning Adoption Model to Promote Sustainable Education
Sustainability
mobile learning
critical success factors (CSFs)
interpretive structural modeling (ISM)
Matrice d’Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC)
cloud-based adoption model
author_facet Naim Ahmad
Najmul Hoda
Fahad Alahmari
author_sort Naim Ahmad
title Developing a Cloud-Based Mobile Learning Adoption Model to Promote Sustainable Education
title_short Developing a Cloud-Based Mobile Learning Adoption Model to Promote Sustainable Education
title_full Developing a Cloud-Based Mobile Learning Adoption Model to Promote Sustainable Education
title_fullStr Developing a Cloud-Based Mobile Learning Adoption Model to Promote Sustainable Education
title_full_unstemmed Developing a Cloud-Based Mobile Learning Adoption Model to Promote Sustainable Education
title_sort developing a cloud-based mobile learning adoption model to promote sustainable education
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-04-01
description Education plays a very significant role in the context of sustainability. As the world population is growing, providing education through the traditional classroom setting is not sufficient and not feasible to extend learning in professional life. Therefore, modern technology-mediated learning paradigms such as mobile learning are becoming increasingly popular. Mobile learning is said to integrate multiple contexts, learning types, mobilities and communications. As information and communications technology (ICT) plays a vital role in the delivery of mobile learning services, it is very essential to adopt sustainable IT resources to keep it viable. Cloud computing offers a range of affordable, scalable and on-demand solutions. This paper attempts to model important critical success factors (CSFs) in the area of cloud-based mobile learning using the interpretive structural modeling (ISM) technique. ISM helps in identifying the hierarchical inter-relationships between the variables of study with the help of experts in the field. Finally, Matrice d’Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) analysis is employed to classify the variables into dependent and independent variables. Management support has been identified as most rudimentary among sixteen CSFs identified through a literature review to establish a distinguished relative advantage. Further, the paper discusses the theoretical underpinning of all the constructs. This study will help organizations to implement mobile learning in sustainable ways.
topic mobile learning
critical success factors (CSFs)
interpretive structural modeling (ISM)
Matrice d’Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC)
cloud-based adoption model
url https://www.mdpi.com/2071-1050/12/8/3126
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