Proposing new mobile learning (M-learning) adoption model for higher education providers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationInteractive Mobile Communication Technologies and Learning - Proceedings of the 11th IMCL Conference
PublisherSpringer-Verlag
Pages69-76
Number of pages8
ISBN (Print)9783319751740
DOIs
Publication statusPublished - Jan 1 2018
Event11th International Conference on Interactive Mobile Communication Technologies and Learning, IMCL2017 - Thessaloniki, Greece
Duration: Nov 30 2017Dec 1 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume725
ISSN (Print)2194-5357

Other

Other11th International Conference on Interactive Mobile Communication Technologies and Learning, IMCL2017
CountryGreece
CityThessaloniki
Period11/30/1712/1/17

Fingerprint

Education
E-learning
Ecosystems
Learning systems
Teaching
Students
Economics

Keywords

  • Adoption
  • Ecosystem
  • Higher education
  • M-learning
  • Mobile learning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Sarrab, M., Al-Shihi, H., Al-Khanjari, Z., & Bourdoucen, H. (2018). Proposing new mobile learning (M-learning) adoption model for higher education providers. In Interactive Mobile Communication Technologies and Learning - Proceedings of the 11th IMCL Conference (pp. 69-76). (Advances in Intelligent Systems and Computing; Vol. 725). Springer-Verlag. https://doi.org/10.1007/978-3-319-75175-7_8

Proposing new mobile learning (M-learning) adoption model for higher education providers. / Sarrab, Mohamed; Al-Shihi, Hafedh; Al-Khanjari, Zuhoor; Bourdoucen, Hadj.

Interactive Mobile Communication Technologies and Learning - Proceedings of the 11th IMCL Conference. Springer-Verlag, 2018. p. 69-76 (Advances in Intelligent Systems and Computing; Vol. 725).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sarrab, M, Al-Shihi, H, Al-Khanjari, Z & Bourdoucen, H 2018, Proposing new mobile learning (M-learning) adoption model for higher education providers. in Interactive Mobile Communication Technologies and Learning - Proceedings of the 11th IMCL Conference. Advances in Intelligent Systems and Computing, vol. 725, Springer-Verlag, pp. 69-76, 11th International Conference on Interactive Mobile Communication Technologies and Learning, IMCL2017, Thessaloniki, Greece, 11/30/17. https://doi.org/10.1007/978-3-319-75175-7_8
Sarrab M, Al-Shihi H, Al-Khanjari Z, Bourdoucen H. Proposing new mobile learning (M-learning) adoption model for higher education providers. In Interactive Mobile Communication Technologies and Learning - Proceedings of the 11th IMCL Conference. Springer-Verlag. 2018. p. 69-76. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-75175-7_8
Sarrab, Mohamed ; Al-Shihi, Hafedh ; Al-Khanjari, Zuhoor ; Bourdoucen, Hadj. / Proposing new mobile learning (M-learning) adoption model for higher education providers. Interactive Mobile Communication Technologies and Learning - Proceedings of the 11th IMCL Conference. Springer-Verlag, 2018. pp. 69-76 (Advances in Intelligent Systems and Computing).
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