Published June 14, 2022 | Version v1

The Application of Technology Acceptance Model in Evaluating Mixed Reality as a Learning Strategy on Classroom Management

  • 1. Universitas Singaperbangsa Karawang, Indonesia

Description

Information and communication technologies have a significant impact on daily living. One of the impacts is
the use of information and communication technologies to affect the school and college learning process.
Previously, Mixed Reality (MR) in conjunction with Virtual Reality (VR) and Augmented Reality (AR) was the
global problem requiring investigation. In many nations, it is acknowledged that this technology facilitates
learning. Using the Technology Acceptance Model (TAM) variable correlation for the evaluation process, this
study intends to determine how mixed reality is utilized in the education sector. In this study, 300 students
employing mixed reality technology served as responders, and 286 valid assessments of Mixed Reality
procedures or methods were collected through questionnaire. Using SPSS and AMOS, the variables were
examined. All variables utilized in the experiment were shown to be dependable, yet there were various
hypotheses with unaffected findings in this technology. Among the findings are that the quality of the
supplied information/learning material has no influence on the perceived ease of use or the amount of
enjoyment felt by students. In addition, the perception of Ease of Use by students when utilizing mixed
reality as a learning medium had no effect on the students' learning-related attitudes. In this scenario, it can
be determined that, based on the Technology Acceptance Model variable, the usage of mixed reality as one
of the supporting learning techniques, taking into account the Quality of Information and Interactivity of the
learning material, is already being utilized appropriately. Suggestions for future study include the use of this
application on other items, the addition of variables that can be utilized in sectors other than education, and
the addition of variables other than TAM so that it may be used in a variety of contexts.
 

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