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Papers by Hafedh al-Shihi
Issues in Informing Science and Information Technology, 2009
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
Informing Science and IT Education Conference, 2011
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
DOAJ (DOAJ: Directory of Open Access Journals), Nov 1, 2014
Issues in Informing Science and Information Technology, 2013
Advances in intelligent systems and computing, 2018
Mobile learning remains a new frontier for many instructors and students. When compared to the tr... more Mobile learning remains a new frontier for many instructors and students. When compared to the traditional and E-learning systems, mobile learning requires the use of different learning and teaching strategies to be adopted and accepted in higher education. This article presents mobile learning concepts ecosystem with more focus on the mobile learning adoption. The article describes the results of research investigation to design a model of mobile learning adoption for higher education providers. The model main components were identified as: user initiation, user willingness and acceptance with different influencing factors including demographics, external variables (performance expectancy, effort expectancy, social influence, facilitating conditions), enjoyment, efficiency, sociability, flexibility, suitability and economic. The provided model is part of an Omani-funded research project investigating the development, adoption and dissemination of M-learning in Oman.
Journal of Computing in Higher Education, Nov 17, 2011
Learning Management System (LMS) enables institutions to administer their educational resources, ... more Learning Management System (LMS) enables institutions to administer their educational resources, and support their traditional classroom education and distance education. LMS survives through instructors' continuous use, which may be to a great extent associated with their satisfaction of the LMS. Consequently, this study examined the key factors that influence the instructors' satisfaction of LMS in blended learning, and how this satisfaction is related to their intention to continuously use LMS in blended learning and purely for distance education. These investigated factors are related to instructors' individual characteristics (computer anxiety, technology experience and personal innovativeness), LMS characteristics (system quality, information quality and service quality), and organizational characteristics (management support, incentives policy and training). The findings indicated that computer anxiety, personal innovativeness, system quality, information quality, management support, incentives policy and training are key factors to instructors' satisfaction of LMS in blended learning. Furthermore, instructors' satisfaction is a significant determinant of their continuous intention to use LMS in blended learning, and their intention to purely use LMS for distance education.
International Journal of Information and Decision Sciences
From innovation adoption perspective, this paper studies learner's perceptions and willingness to... more From innovation adoption perspective, this paper studies learner's perceptions and willingness toward M-learning adoption and investigates the key factors affecting M-learning adoption behaviour in Oman and the Arab Gulf Region. Despite a large amount of research in the field of M-learning, there is so much research focused on analysing the relationship between the perceived innovative characteristics and willingness of M-learning adoption. Using analytic hierarchy process (AHP), 28 factors of perceived innovative characteristics have been analysed to examine the relationship among the perceived innovative characteristics and willingness of M-learning adoption. The results of a total of 806 learners from different institutes in Omani higher education that participated in this research showed that some factors of perceived innovative characteristics, such as enjoyment, flexibility, suitability, social, economic, and efficiency have more influence on learners' adoption of M-learning. The effort is part of the Omani-funded research project investigating the development, adoption and dissemination of mobile learning in Oman.
Issues in Informing Science and Information Technology, 2009
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
Informing Science and IT Education Conference, 2011
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
BENTHAM SCIENCE PUBLISHERS eBooks, Jul 27, 2021
DOAJ (DOAJ: Directory of Open Access Journals), Nov 1, 2014
Issues in Informing Science and Information Technology, 2013
Advances in intelligent systems and computing, 2018
Mobile learning remains a new frontier for many instructors and students. When compared to the tr... more Mobile learning remains a new frontier for many instructors and students. When compared to the traditional and E-learning systems, mobile learning requires the use of different learning and teaching strategies to be adopted and accepted in higher education. This article presents mobile learning concepts ecosystem with more focus on the mobile learning adoption. The article describes the results of research investigation to design a model of mobile learning adoption for higher education providers. The model main components were identified as: user initiation, user willingness and acceptance with different influencing factors including demographics, external variables (performance expectancy, effort expectancy, social influence, facilitating conditions), enjoyment, efficiency, sociability, flexibility, suitability and economic. The provided model is part of an Omani-funded research project investigating the development, adoption and dissemination of M-learning in Oman.
Journal of Computing in Higher Education, Nov 17, 2011
Learning Management System (LMS) enables institutions to administer their educational resources, ... more Learning Management System (LMS) enables institutions to administer their educational resources, and support their traditional classroom education and distance education. LMS survives through instructors' continuous use, which may be to a great extent associated with their satisfaction of the LMS. Consequently, this study examined the key factors that influence the instructors' satisfaction of LMS in blended learning, and how this satisfaction is related to their intention to continuously use LMS in blended learning and purely for distance education. These investigated factors are related to instructors' individual characteristics (computer anxiety, technology experience and personal innovativeness), LMS characteristics (system quality, information quality and service quality), and organizational characteristics (management support, incentives policy and training). The findings indicated that computer anxiety, personal innovativeness, system quality, information quality, management support, incentives policy and training are key factors to instructors' satisfaction of LMS in blended learning. Furthermore, instructors' satisfaction is a significant determinant of their continuous intention to use LMS in blended learning, and their intention to purely use LMS for distance education.
International Journal of Information and Decision Sciences
From innovation adoption perspective, this paper studies learner's perceptions and willingness to... more From innovation adoption perspective, this paper studies learner's perceptions and willingness toward M-learning adoption and investigates the key factors affecting M-learning adoption behaviour in Oman and the Arab Gulf Region. Despite a large amount of research in the field of M-learning, there is so much research focused on analysing the relationship between the perceived innovative characteristics and willingness of M-learning adoption. Using analytic hierarchy process (AHP), 28 factors of perceived innovative characteristics have been analysed to examine the relationship among the perceived innovative characteristics and willingness of M-learning adoption. The results of a total of 806 learners from different institutes in Omani higher education that participated in this research showed that some factors of perceived innovative characteristics, such as enjoyment, flexibility, suitability, social, economic, and efficiency have more influence on learners' adoption of M-learning. The effort is part of the Omani-funded research project investigating the development, adoption and dissemination of mobile learning in Oman.