@inproceedings{37fbc067e721412ca18a17c5f442bf01,
title = "Virtual circuits: An augmented reality circuit simulator for engineering students",
abstract = "The abilities of Augmented Reality to overlay learning materials with contextual dynamic information and of software simulations to allow rapid and safe exploration of complex engineering concepts have already been established as beneficial in education. Access to both technologies in the classroom has been rather limited due to costs and hardware requirements. With the intention to bring these two technologies closer to engineering students, we created Virtual Circuits: A low-cost simulator app of electrical circuits designed for the classroom and autonomous study. Virtual Circuits requires only a smart-phone and a set of plastic tokens and, with the help of Augmented Reality and a simulation engine, it allows electrical engineering students to quickly explore complex concepts in their field. In this article we present the Virtual Circuits app and the results of our first field test in a real electrical engineering classroom at our university. The collected feedback from students was overwhelmingly positive hinting at tangible educational benefits and improvements in future versions of our app.",
keywords = "Augmented Reality, Circuit Simulation, Education",
author = "Pedro Lucas and David Vaca and Federico Dominguez and Xavier Ochoa",
note = "Funding Information: ACKNOWLEDGMENT This research was developed using the infrastructure provided by the ANDAMIOSProject, supported by the Secretar{\'i}a de Educaci{\'o}n Superior, Ciencia, Tecnolog{\'i}a e Innovaci{\'o}n - SENESCYT of Ecuador. The authors would like to thank SENESCYT for their funding and support. Additionally, the authors would like to thank Eng. {\'A}ngel Valencia and Eng. Publisher Copyright: {\textcopyright} 2018 IEEE.; 18th IEEE International Conference on Advanced Learning Technologies, ICALT 2018 ; Conference date: 09-07-2018 Through 13-07-2018",
year = "2018",
month = aug,
day = "10",
doi = "10.1109/ICALT.2018.00097",
language = "English (US)",
isbn = "9781538660492",
series = "Proceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "380--384",
editor = "Nian-Shing Chen and Maiga Chang and Ronghuai Huang and K. Kinshuk and Kannan Moudgalya and Sahana Murthy and Sampson, {Demetrios G}",
booktitle = "Proceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018",
}