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Identification of Variables that Predict Teachers’ Attitudes toward ICT in Higher Education for Teaching and Research: A Study with Regression

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  • Francisco D. Guillén-Gámez

    (Department of Didactics and School Organization, University of Almería, 04120 Almería, Spain)

  • María J. Mayorga-Fernández

    (Department of Didactics and School Organization, University of Malaga, 29071 Málaga, Spain)

Abstract

The aim of this research is to analyse the attitudes towards information and communication technologies (ICT) of higher education teachers from an affective, cognitive and behavioural model for teaching and research. It also aimed to explore different factors that can predict such attitudes. A non-experimental study was proposed using a survey technique and descriptive and inferential analyses were carried out using a multiple linear regression model (MLR). In total, the sample was formed by 867 university professors from Spain belonging to different areas of knowledge. The results show that these teachers have a medium total attitudinal level, so the lowest attitudes have been represented by the behavioural ones, followed by the affective ones. Regarding the predictor variables, variables that can predict such attitudes were found to be age, participation in projects, gender and teaching in face-to-face and/or online universities (ordered from highest to lowest priority).

Suggested Citation

  • Francisco D. Guillén-Gámez & María J. Mayorga-Fernández, 2020. "Identification of Variables that Predict Teachers’ Attitudes toward ICT in Higher Education for Teaching and Research: A Study with Regression," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1312-:d:319276
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    References listed on IDEAS

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    1. Yanguang Chen, 2016. "Spatial Autocorrelation Approaches to Testing Residuals from Least Squares Regression," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-19, January.
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