TY - CONF
TI - Mobile Augmented Reality Applications in Teaching: A Proposed Technology
Acceptance Model
AU - Koutromanos, George
AU - Mikropoulos, Tassos A.
PY - 2021
SP - 273-280
PB - IEEE Comput. Soc
T2 - 2021 7TH INTERNATIONAL CONFERENCE OF THE IMMERSIVE LEARNING RESEARCH
NETWORK (ILRN)
TODO - 10.23919/ILRN52045.2021.9459343
TODO - mobile augmented reality; technology acceptance model; teachers;
education
TODO - 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.
ER -