The technology acceptance of mobile applications in education

Mark Anthony Camilleri, Adriana Caterina Camilleri

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

8 Citations (Scopus)

Abstract

This research explores the educators' attitudes and behavioural intention toward mobile applications. The methodology integrates measures from 'the pace of technological innovativeness' and the 'technology acceptance model' to understand the rationale for further investment in mobile learning (m-learning). A quantitative study was carried out amongst two hundred forty-one educators in small EU state. It has investigated the costs and benefits of using ubiquitous resources, including tablets for m-learning in schools. A principal component analysis has indicated that the educators were committed to using mobile technologies. In addition, a stepwise regression analysis has shown that the younger teachers were increasingly engaging in m-learning resources. In conclusion, this contribution puts forward key implications for both academia and practitioners.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Mobile Learning 2017, ML 2017
PublisherIADIS
Pages41-48
Number of pages8
ISBN (Electronic)9789898533616
Publication statusPublished - 2017
Event13th International Conference on Mobile Learning 2017, ML 2017 - Budapest, Hungary
Duration: 10 Apr 201712 Apr 2017

Conference

Conference13th International Conference on Mobile Learning 2017, ML 2017
CountryHungary
CityBudapest
Period10/04/1712/04/17

Keywords

  • Mobile
  • Mobile Learning
  • Stepwise Regression Analysis
  • Technology Acceptance Model
  • Technology Innovation Principal Component Analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software
  • Hardware and Architecture

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  • Cite this

    Camilleri, M. A., & Camilleri, A. C. (2017). The technology acceptance of mobile applications in education. In Proceedings of the 13th International Conference on Mobile Learning 2017, ML 2017 (pp. 41-48). IADIS.