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Augmented Reality for the Improvement of Remote Laboratories: An Augmented Remote Laboratory

Andujar, Jose Manuel, Mejias, Andrés, Marquez, Marco Antonio·2011·IEEE Transactions on Education

Abstract

Augmented reality (AR) provides huge opportunities for online teaching in science and engineering, as these disciplines place emphasis on practical training and unsuited to completely nonclassroom training. This paper proposes a new concept in virtual and remote laboratories: the augmented remote laboratory (ARL). ARL is being tested in the first and second years of the new degrees in industrial engineering and computer engineering, respectively, at the School of Engineering, University of Huelva, Huelva, Spain. By means of augmented reality techniques, ARL allows the student to experience sensations and explore learning experiences that, in some cases, may exceed those offered by traditional laboratory classes. The effectiveness of this methodology for remote laboratory work is evaluated by comparing it to practical sessions in the laboratory at the university itself with the same group of students. Students completed a questionnaire after having experienced both types of practicals, and the results show that the use of ARL improves student outcomes. As discussed in the paper, the potential of AR to configure different experiments from the same physical configuration is virtually limitless.

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Metadata

Authors
Andujar, J. M., Mejias, A., & Marquez, M. A.
Venue
IEEE Transactions on Education
Published
2011-08
Volume
54
Issue
3
Pages
492-500
ISSN
  • 0018-9359 (ISSN-L)
  • 1557-9638
OpenAlex
W2106685257
Cited by
247
References
0
FWCI
15.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Augmented Reality for the Improvement of Remote Laboratories: An Augmented Remote Laboratory. https://app.cochat.ai/papers/10.1109/te.2010.2085047
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Andujar, J. M., Mejias, A., & Marquez, M. A. (2011). Augmented Reality for the Improvement of Remote Laboratories: An Augmented Remote Laboratory. IEEE Transactions on Education. https://doi.org/10.1109/te.2010.2085047

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.