BRAIN. Broad Research in Artificial Intelligence and Neuroscience

Volume: 13 | Issue: 1 |

A Preliminary Investigation of the Technology Acceptance Model (TAM) in Early Childhood Education and Care

Published March 4, 2022
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Dana Rad - Assoc. Prof. PhD, Aurel Vlaicu University of Arad, Arad, Romania (RO), Anca Egerau - Assoc. Prof. PhD, Aurel Vlaicu University of Arad, Arad, Romania (RO), Alina Roman - Prof. PhD, Aurel Vlaicu University of Arad, Arad, Romania (RO), Tiberiu Dughi - Assoc. Prof. PhD, Aurel Vlaicu University of Arad, Arad, Romania (RO), Evelina Balas - Assoc. Prof. PhD, Aurel Vlaicu University of Arad, Arad, Romania (RO), Roxana Maier - Assoc. Prof. PhD, Aurel Vlaicu University of Arad, Arad, Romania (RO), Sonia Ignat - Lect. PhD, Aurel Vlaicu University of Arad, Arad, Romania (RO), Gavril Rad - Assist. Prof. PhD cand, Aurel Vlaicu University of Arad, Arad, Romania (RO),

Abstract

The technology acceptance model (TAM) is a well-known postmodern idea that explains how humans adopt and use new technologies. The model focuses on variables that impact behavioral intention to use new technology from the perspective of the end user. The purpose of this study was to construct a viable questionnaire for assessing preschool teachers' technology acceptability in online instruction in ECEC, based on data collected from 182 Romanian preschool instructors, using the theory of planned behavior framework. Our application of theory of planned behavior in technology adoption in ECEC is extraordinarily good, with 66 percent explained variance of actual usage of technology in class. The research literature supports the findings that the intention to use technology and a good attitude toward technology are the most significant determinants of actual technology usage. Although more research is needed in larger and more complex samples to confirm these findings, there is compelling evidence that the prediction methodology can be used to predict preschool teachers' level of technology acceptance and assist educational decision-makers in designing timely interventions that improve the chances of success. The study's major findings point to crucial variables that might help national educational decision-makers improve technology adoption in ECEC.

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