Modeling Technology Acceptance Among Pre-Service Teachers

Abstract

The purpose of the study is to build a model that predicts the level of technology acceptance by pre-service teachers at a teacher training institute in Singapore. It examines relationships among variables associated with factors that influence technology acceptance. Data was collected from 475 participants using a survey questionnaire. Employing structural equation modelling, a hypothesized model was tested for model fit in the study. The resulting model is found to have a good fit. Perceived usefulness, attitude towards computer use, and computer self-efficacy have direct effect on pre-service teachers’ technology acceptance, whereas perceived ease of use, technological complexity, and facilitating conditions affect technology acceptance indirectly. These six variables account for approximately 27.1% of the variance of behavioural intention. Perceived usefulness appeared to the strongest determinant of behavioural intention. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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