An empirical analysis of Mobile learning (M-learning) awareness and acceptance in higher education

Mohamed Sarrab, Hafedh Al-Shihi, Asharul Islam Khan

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

5 Citations (Scopus)

Abstract

Currently, most of education systems prohibit the use of mobile devices during learning and learners are very rarely allowed to use mobile devices web browser to find information during lessons or exercises. The concept of M-learning combines the advantage of network wireless technologies and mobility to be used in the education and learning processes considering the learning availability anytime and anywhere lead to M-learning as a new model of learning technology. The M-learning approaches are not provided to replace traditional learning systems but they can be involved to complement the learning process in our colleges and universities. The objective of this research was to assess the awareness and acceptance of M-learning among Omani higher education learners. An empirical analysis study has been conducted for 6 months against learners' students at higher education to analyse and evaluate learners' awareness and acceptance of M-learning adoption. The study findings can be used to support the research, development and adoption of M-learning in future.

Original languageEnglish
Title of host publication2015 International Conference on Computing and Network Communications, CoCoNet 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages960-963
Number of pages4
ISBN (Print)9781467373098
DOIs
Publication statusPublished - Feb 17 2016
EventInternational Conference on Computing and Network Communications, CoCoNet 2015 - Trivandrum, India
Duration: Dec 15 2015Dec 19 2015

Other

OtherInternational Conference on Computing and Network Communications, CoCoNet 2015
CountryIndia
CityTrivandrum
Period12/15/1512/19/15

Fingerprint

Education
Mobile devices
Web browsers
Learning systems
Wireless networks
Availability
Students

Keywords

  • Awareness and acceptance
  • Higher Education
  • M-learning
  • Mobile Learning

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications

Cite this

Sarrab, M., Al-Shihi, H., & Khan, A. I. (2016). An empirical analysis of Mobile learning (M-learning) awareness and acceptance in higher education. In 2015 International Conference on Computing and Network Communications, CoCoNet 2015 (pp. 960-963). [7411307] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoCoNet.2015.7411307

An empirical analysis of Mobile learning (M-learning) awareness and acceptance in higher education. / Sarrab, Mohamed; Al-Shihi, Hafedh; Khan, Asharul Islam.

2015 International Conference on Computing and Network Communications, CoCoNet 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 960-963 7411307.

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

Sarrab, M, Al-Shihi, H & Khan, AI 2016, An empirical analysis of Mobile learning (M-learning) awareness and acceptance in higher education. in 2015 International Conference on Computing and Network Communications, CoCoNet 2015., 7411307, Institute of Electrical and Electronics Engineers Inc., pp. 960-963, International Conference on Computing and Network Communications, CoCoNet 2015, Trivandrum, India, 12/15/15. https://doi.org/10.1109/CoCoNet.2015.7411307
Sarrab M, Al-Shihi H, Khan AI. An empirical analysis of Mobile learning (M-learning) awareness and acceptance in higher education. In 2015 International Conference on Computing and Network Communications, CoCoNet 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 960-963. 7411307 https://doi.org/10.1109/CoCoNet.2015.7411307
Sarrab, Mohamed ; Al-Shihi, Hafedh ; Khan, Asharul Islam. / An empirical analysis of Mobile learning (M-learning) awareness and acceptance in higher education. 2015 International Conference on Computing and Network Communications, CoCoNet 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 960-963
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