Mobile Augmented Reality Applications in Teaching: A Proposed Technology Acceptance Model

Abstract

This study proposed MARAM, a mobile augmented reality acceptance model that determines the factors that affect teachers’ intention to use AR applications in their teaching. MARAM extends TAM by adding the variables of perceived relative advantage, perceived enjoyment, facilitating conditions, and mobile self–efficacy. MARAM was tested in a pilot empirical study with 127 teachers who used educational mobile AR applications and developed their own ones. The results of regression analysis showed that MARAM can predict a satisfactory percentage of the variance in teachers’ intention, attitude, perceived usefulness and perceived ease of use. Attitude, perceived usefulness, and facilitating conditions affected intention. Both perceived usefulness and perceived enjoyment affected attitude. Furthermore, perceived relative advantage and perceived enjoyment affected perceived usefulness. In addition, mobile self-efficacy and facilitating conditions affected perceived ease of use. However, perceived ease of use did not have any effect on attitude and perceived usefulness. MARAM could serve as the basis for future studies on teachers’ acceptance of mobile AR applications and be expanded through the addition of other variables.