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

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-e...

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Main Authors: Guillén Gámez, Francisco David, Mayorga Fernández, María J.
Format: info:eu-repo/semantics/article
Language:English
Published: MDPI 2020
Subjects:
Online Access:http://hdl.handle.net/10835/7738
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author Guillén Gámez, Francisco David
Mayorga Fernández, María J.
author_facet Guillén Gámez, Francisco David
Mayorga Fernández, María J.
author_sort Guillén Gámez, Francisco David
collection DSpace
description 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).
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spelling oai:repositorio.ual.es:10835-77382023-04-12T19:15:30Z Identification of Variables that Predict Teachers’ Attitudes toward ICT in Higher Education for Teaching and Research: A Study with Regression Guillén Gámez, Francisco David Mayorga Fernández, María J. higher education teachers ICT attitudes new technologies 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). 2020-03-02T11:08:39Z 2020-03-02T11:08:39Z 2020-02-11 info:eu-repo/semantics/article 2071-1050 http://hdl.handle.net/10835/7738 en https://www.mdpi.com/2071-1050/12/4/1312 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI
spellingShingle higher education
teachers
ICT
attitudes
new technologies
Guillén Gámez, Francisco David
Mayorga Fernández, María J.
Identification of Variables that Predict Teachers’ Attitudes toward ICT in Higher Education for Teaching and Research: A Study with Regression
title Identification of Variables that Predict Teachers’ Attitudes toward ICT in Higher Education for Teaching and Research: A Study with Regression
title_full Identification of Variables that Predict Teachers’ Attitudes toward ICT in Higher Education for Teaching and Research: A Study with Regression
title_fullStr Identification of Variables that Predict Teachers’ Attitudes toward ICT in Higher Education for Teaching and Research: A Study with Regression
title_full_unstemmed Identification of Variables that Predict Teachers’ Attitudes toward ICT in Higher Education for Teaching and Research: A Study with Regression
title_short Identification of Variables that Predict Teachers’ Attitudes toward ICT in Higher Education for Teaching and Research: A Study with Regression
title_sort identification of variables that predict teachers’ attitudes toward ict in higher education for teaching and research: a study with regression
topic higher education
teachers
ICT
attitudes
new technologies
url http://hdl.handle.net/10835/7738
work_keys_str_mv AT guillengamezfranciscodavid identificationofvariablesthatpredictteachersattitudestowardictinhighereducationforteachingandresearchastudywithregression
AT mayorgafernandezmariaj identificationofvariablesthatpredictteachersattitudestowardictinhighereducationforteachingandresearchastudywithregression