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International Conference on Advanced Intelligent Systems and Informatics

AISI 2019: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 pp 406–417Cite as

Examining the Main Mobile Learning System Drivers’ Effects: A Mix Empirical Examination of Both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM)

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1058))

Abstract

This study aims to investigate the intention to use and actual use of Mobile Learning System (MLS) drivers by students within the UAE higher education setting. A set of factors were chosen to study and test the issue at hand. These factors are social influence, expectation-confirmation, perceived ease of use, perceived usefulness, satisfaction, continuous intention and finally the actual use of such MLS. This study adds more light to the MLS context because it combines between two models which are the Information Technology Acceptance Model (TAM) and Expectation-Confirmation Model (ECM). A set of hypotheses were developed based on such theoretical combination. The data collected from 448 students for the seek of primary data and analyzed using the Structural Equation Modeling (SEM) in particular (SmartPLS) to evaluate the developed study model and test the prepared hypotheses. The study found that both social influence and expectation-confirmation factors influence positively perceived ease of use, perceived usefulness and satisfaction and such three drivers influence positively students’ intention to use MLS. Based on previous proposed links, the study confirms that intention to use such mobile educational means affect strongly and positively the actual use. Scholars and practitioners should take care of learners’ intention to use and actual use of MLS and their determinants into more investigation especially the social influence and reference group ones within the educational setting. A set of limitation and future research venues were mentioned in details also.

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Author information

Authors and Affiliations

  1. Marketing Department, School of Business, The University of Jordan, Amman, Jordan

    Muhammad Alshurideh

  2. Faculty of Business, University of Sharjah, Sharjah, UAE

    Muhammad Alshurideh & Said A. Salloum

  3. Marketing Department, Amman Arab University, Amman, Jordan

    Barween Al Kurdi

  4. Faculty of Engineering and IT, The British University in Dubai, Dubai, UAE

    Said A. Salloum

Authors
  1. Muhammad Alshurideh
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  2. Barween Al Kurdi
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  3. Said A. Salloum
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Corresponding author

Correspondence to Said A. Salloum .

Editor information

Editors and Affiliations

  1. Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Ain Shams University, Cairo, Egypt

    Mohamed Fahmy Tolba

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Alshurideh, M., Al Kurdi, B., Salloum, S.A. (2020). Examining the Main Mobile Learning System Drivers’ Effects: A Mix Empirical Examination of Both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM). In: Hassanien, A., Shaalan, K., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_37

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