Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques

The use of mobile learning (m-learning) applications in education has increased dramatically in recent years. M-learning applications are installed by users through a variety of mobile device distribution platforms. For a wide audience to accept them, these applications must be stable and of high qu...

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Main Author:	Mohamed, Zuhair Ibrahim
Format:	Thesis
Language:	eng eng
Published:	2021
Subjects:	T Technology (General)
Online Access:	https://etd.uum.edu.my/9492/1/s94648_01.pdf https://etd.uum.edu.my/9492/2/s94648_02.pdf
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id	my-uum-etd.9492
record_format	uketd_dc
spelling	my-uum-etd.94922023-04-10T01:57:50Z Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques 2021 Mohamed, Zuhair Ibrahim Abdul Mutalib, Ariffin Sarif, Siti Mahfuzah Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts & Sciences T Technology (General) The use of mobile learning (m-learning) applications in education has increased dramatically in recent years. M-learning applications are installed by users through a variety of mobile device distribution platforms. For a wide audience to accept them, these applications must be stable and of high quality. The decision to purchase m-learning applications needs systematic guidelines so that the appropriate one can be selected to provide a viable and effective solution to educational organizations. Usability in m-learning applications has been studied as a non-functional problem in several previous studies. In reality, Saudi tertiary institutions still lack a systematic, efficient, and well-defined framework for evaluating and selecting m-learning applications due to the lack of reliable m-learning application selection methods. Therefore, this study addresses this gap by proposing a framework to support and improve m-learning applications evaluation and selection process named as Mobile-Learning Application Evaluation and Selection Framework (MLA-ESF). MLA-ESF supports evaluation and selection of m-learning applications and integration of functional and non-functional requirements as well as addresses mismatch problems. In addition, the MLA-ESF is developed to assist and guide developers and educational organizations in selecting the required m-learning application in a more systematic and repeatable manner. Moreover, the MLA-ESF framework provides a guideline for future theoretical research, as well as being a practical and usable tool in real contexts. The study is conducted in four main phases: a survey and interview of decision-makers and users to identify the evaluation criteria, development of the framework based on the Evaluation Theory, development of a new decision-making technique by integrating Fuzzy Analytical Hierarchy Process (FAHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and GAP Analysis (GA) to handle user requirements mismatches, and validation of the applicability and reliability of MLAESF using experts review, case study and yardstick validation. The study shows that the evaluated aspects of MLA-ESF namely, inputs, actions, outcomes, are feasible and demonstrate their potential and applicability to be applied in the real environment as 75% of the experts found it as useful, 66.7% find it easy to implement, and 75% find the techniques are adequate and sufficient. 2021 Thesis https://etd.uum.edu.my/9492/ https://etd.uum.edu.my/9492/1/s94648_01.pdf text eng public https://etd.uum.edu.my/9492/2/s94648_02.pdf text eng public other doctoral Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Abdul Mutalib, Ariffin Sarif, Siti Mahfuzah
topic	T Technology (General)
spellingShingle	T Technology (General) Mohamed, Zuhair Ibrahim Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques
description	The use of mobile learning (m-learning) applications in education has increased dramatically in recent years. M-learning applications are installed by users through a variety of mobile device distribution platforms. For a wide audience to accept them, these applications must be stable and of high quality. The decision to purchase m-learning applications needs systematic guidelines so that the appropriate one can be selected to provide a viable and effective solution to educational organizations. Usability in m-learning applications has been studied as a non-functional problem in several previous studies. In reality, Saudi tertiary institutions still lack a systematic, efficient, and well-defined framework for evaluating and selecting m-learning applications due to the lack of reliable m-learning application selection methods. Therefore, this study addresses this gap by proposing a framework to support and improve m-learning applications evaluation and selection process named as Mobile-Learning Application Evaluation and Selection Framework (MLA-ESF). MLA-ESF supports evaluation and selection of m-learning applications and integration of functional and non-functional requirements as well as addresses mismatch problems. In addition, the MLA-ESF is developed to assist and guide developers and educational organizations in selecting the required m-learning application in a more systematic and repeatable manner. Moreover, the MLA-ESF framework provides a guideline for future theoretical research, as well as being a practical and usable tool in real contexts. The study is conducted in four main phases: a survey and interview of decision-makers and users to identify the evaluation criteria, development of the framework based on the Evaluation Theory, development of a new decision-making technique by integrating Fuzzy Analytical Hierarchy Process (FAHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and GAP Analysis (GA) to handle user requirements mismatches, and validation of the applicability and reliability of MLAESF using experts review, case study and yardstick validation. The study shows that the evaluated aspects of MLA-ESF namely, inputs, actions, outcomes, are feasible and demonstrate their potential and applicability to be applied in the real environment as 75% of the experts found it as useful, 66.7% find it easy to implement, and 75% find the techniques are adequate and sufficient.
format	Thesis
qualification_name	other
qualification_level	Doctorate
author	Mohamed, Zuhair Ibrahim
author_facet	Mohamed, Zuhair Ibrahim
author_sort	Mohamed, Zuhair Ibrahim
title	Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques
title_short	Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques
title_full	Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques
title_fullStr	Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques
title_full_unstemmed	Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques
title_sort	framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2021
url	https://etd.uum.edu.my/9492/1/s94648_01.pdf https://etd.uum.edu.my/9492/2/s94648_02.pdf
_version_	1776103730423267328

Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques

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