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Exploring the True Motivation of Faculty Members to Promote Technological Innovation in Their Courses

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Advances in Human Factors in Training, Education, and Learning Sciences (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1211))

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Abstract

The current study explores the motivation of lecturers to use technology in their teaching. Questionnaires were administered to 111 respondents. Results show that even those who said that they are unfamiliar with the system, also said that they lack the time to learn it. Differences were found between faculty members in the different departments. The research findings showed that faculty members had no interest in learning additional functions of the system. They were aware that they could use the system to perform additional operations but didn’t do so claiming that they lack the time to learn them and how to operate them. If so, it makes no sense to proceed to more advanced processes when no one is learning even those that already exist.

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Author information

Authors and Affiliations

  1. Ariel University, Ariel, Israel

    Nitza Davidovitch

  2. Department of Economics and Business Administration, Ariel University, Ariel, Israel

    Eyal Eckhaus

Authors
  1. Nitza Davidovitch
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  2. Eyal Eckhaus
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Corresponding author

Correspondence to Nitza Davidovitch .

Editor information

Editors and Affiliations

  1. Department of Maritime Operations, University of South-Eastern Norway, Borre, Norway

    Salman Nazir

  2. University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  3. University of Central Florida, Winter Park, FL, USA

    Waldemar Karwowski

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© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Davidovitch, N., Eckhaus, E. (2020). Exploring the True Motivation of Faculty Members to Promote Technological Innovation in Their Courses. In: Nazir, S., Ahram, T., Karwowski, W. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1211. Springer, Cham. https://doi.org/10.1007/978-3-030-50896-8_4

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