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Towards a New Learning Experience through a Mobile Application with Augmented Reality in Engineering Education

Authors: Criollo-C, Santiago; Abad-Vásquez, David; Martic, Marjan; Velásquez-G, Fausto Andrés; Pérez-Medina, Jorge-Luis; Luján-Mora, Sergio;

Towards a New Learning Experience through a Mobile Application with Augmented Reality in Engineering Education

Abstract

With the rise of information technology and digitization, education has been faced with the need to adopt new learning models using technology to create innovative educational methodologies. In addition, due to pandemic restrictions and in order to help contain the spread of the virus (COVID-19), all educational institutions have been forced to switch immediately to online education. The application of augmented reality (AR) in education provides important benefits, such as increased engagement and interactivity, and can help to minimize the negative effects of the disruption of face-to-face education. Therefore, this paper focuses on describing the effect of an augmented reality mobile application (NetAR) that was developed for engineering students as a complement to traditional education. To achieve this objective, an experimental group and a control group were established to work with the application for three weeks for three hours a day. Moreover, there are a number of usability issues with AR that may impact learning effectiveness and motivation. Therefore, the usability of the application was evaluated with the IBM Computer System Usability Questionnaire (CSUQ) tool. The usability results show that users are satisfied with NetAR, and the statistical data from the control group indicate that the application positively affects learning.

Keywords

Technology, QH301-705.5, QC1-999, Usability, M-learning, Augmented reality, Education, mobile learning, Mobile applications, m-learning, Biology (General), innovative learning, QD1-999, education, T, Physics, Mobile learning, Engineering (General). Civil engineering (General), mobile applications, augmented reality, Learning models, usability, Innovative learning, Chemistry, Lenguajes y Sistemas Informáticos, learning models, TA1-2040

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
65
Top 1%
Top 10%
Top 1%
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