The Role of Personal Variables and Emotions Related to Preservice Teachers’ Intention to Use Information Technologies in Acceptance of Educational Use of the Internet of Things (IoT)

Abstract

The purpose of this study is to examine the relationship between pre-service teachers’ internet of things acceptance behaviors (intention, usefulness, ease of use, facilitating conditions) and personal variables and information technology (IT) emotions. The research participants consisted of 171 pre-service teachers studying at the education faculty of a state university in Turkey. A personal information form and two different scales (IoT technologies acceptance scale and IT Emotion Scale) were used to collect data. Multiple Linear Regression Analysis was used in the analysis of the data. As a result of the research, competency in using digital technologies was an important predictor of the scores related to usability, and the increase in competency in using digital technologies positively affected the scores related to usability. The experience of using digital technologies and fun are important predictors in explaining the scores related to intention. The experience of using digital technologies and the increase in fun positively affect the scores related to intention. The experience of using digital technologies is an important predictor of the scores related to ease of use, and the increase in the experience of using digital technologies positively affects the scores related to ease of use. Finally, the scores related to the facilitating conditions of the competency in using digital technologies are an important predictor, and the increase in the competency of using digital technologies positively affects the scores of the facilitating conditions.