Acceptance model of M-learning among student of Isra University

Farah Faris Al-Monthry, Bassam Al-Shargabi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The recent development in the information and Communication industry is having a tremendous impact over the education industry. With the advent of technologies like e-learning and M-learning institutions have started to embrace these technologies. Various factors and issues influences the adoption and acceptance use of M-learning that must be studied in order to benefit from the inclusion on M-learning among students specially in Jordan and the Arab Region. In particular, the issues related to how to promote learners' acceptance of M-learning are largely unsolved. Research in this regard is very scare. Therefore, this paper aimed to considers the various models of technology acceptance recently for the sake of developing a theoretical model based on the Technology Acceptance Model (TAM) and identifies the various factors associated in the incorporation of M-learning among students of Ira university as case study to validate the proposed model, The results shows that four factors of proposed model out of five factors that influence students to accept the use of M-learning.

Original languageEnglish
Title of host publicationProceedings of the 1st International Conference on Data Science, E-Learning and Information Systems, DATA 2018
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450365369
DOIs
Publication statusPublished - 1 Oct 2018
Externally publishedYes
Event1st International Conference on Data Science, E-Learning and Information Systems, DATA 2018 - Madrid, Spain
Duration: 1 Oct 20182 Oct 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference1st International Conference on Data Science, E-Learning and Information Systems, DATA 2018
Country/TerritorySpain
CityMadrid
Period1/10/182/10/18

Keywords

  • E-learning
  • E-readiness
  • Education
  • M-learning
  • Technology acceptance Model

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