Abstract
This paper proposes a way of using Augmented Reality to help students accomplish remote laboratory experiments and check their engagement while their activities are carried on. For this end, we used Experience API (xAPI) to track student’s performances. First, students should access a remote laboratory. In this case, the Remote Microscope Experiment was accessed through a computer on RExLab’s website and a smartphone was used to interact with augmented elements inserted in a specific context. The users’ interactions with the elements inserted through the Augmania™ platform are withheld through xAPI and shown in the Learning Record Store of this same application. This made possible to acquire and analyze the students’ performance and engagement through data visualization dashboards and charts. RExLab (Remote Experimentation Laboratory) is physically located at Araranguá, Brasil.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
IEEE Std 1876™-2019: IEEE Standard for Networked Smart Learning Objects for Online Laboratories
Barbosa, T.L.M., Coan, A.L.: Laboratórios remotos e as suas contribuições para os estudos na área de programação. In: LACCEI International Multi-conference for Engineering, Education, and Technology: “Industry, Innovation, and Infrastructure for Sustainable Cities and Communities”, Campinas, vol. 17 (2019)
Rivera, L.F.Z., Larrondo-Petrie, M.M.: Models of remote laboratories and collaborative roles for learning environments. In: 13th International Conference on Remote Engineering and Virtual Instrumentation (REV). IEEE (2016)
Azuma, R.T.: A Survey of Augmented Reality. Presence Teleoperators Virtual Environ. 6(4), 355–385 (1997). MIT Press – Journals
Potts, R., Yee, L.: Pokémon Go-ing or staying: exploring the effect of age and gender on augmented reality game player experiences in public spaces. J. Urban Des. 24(6), 878–895 (2019)
Silva, M.M.O., Teixeira, J.M.X.N., Cavalcante, P.S., Teichrieb, V.: Perspectives on how to evaluate augmented reality technology tools for education: a systematic review. J. Braz. Comput. Soc. 25(1), 2019 (2019). Springer Nature
Fidan, M., Tuncel, M.: Integrating augmented reality into problem based learning: the effects on learning achievement and attitude in physics education. Comput. Educ. 142, 2019 (2019)
Cai, S., Wang, X., Chiang, F.: A case study of Augmented Reality simulation system application in a chemistry course. Comput. Hum. Behav. 37, 31–40 (2014)
Yun, M., Qimeng, N., Fang, W., Ying, L., Haiyang, J.: Application of augmented reality technology in industrial design. IOP Conf. Ser. Mater. Sci. Eng. 573, 2019 (2019)
Rodriguez-Gil, L., García-Zubia, J., Orduña, P., López-de-Ipiña, D.: Towards new multiplatform hybrid online laboratory models. IEEE Trans. Learn. Technol. 10(3), 318–330 (2017)
Vilela, D.C., Germano, J.S.E., Monteiro, M.A.A., Carvalho, S.J.: Estudo comparativo de um experimento de eletrodinâmica: Laboratório Tradicional x Laboratório Remoto. Revista Brasileira de Ensino de Física 41(4), 1–8 (2019)
Maiti, A., Zutin, D.G., Wuttke, H., Henke, K., Maxwell, A.D., Kist, A.A.: A framework for analyzing and evaluating architectures and control strategies in distributed remote laboratories. IEEE Trans. Learn. Technol. 11(4), 441–455 (2018)
Simão, J.P.S., Carlos, L.M., Saliah-Hassane, H., Silva, J.B., Alves, J.B.M.: Model for recording learning experience data from remote laboratories using xAPI. In: XIII Latin American Conference on Learning Technologies (LACLO). IEEE (2018)
Woodwill, G.: Understanding the experience API. In: Mastering Mobile Learning: Tips and Techniques for Success, vol. 43, no. 1, pp. 277–280 (2015)
Vidal, J.C., Rabelo, T., Lama, M.: Semantic description of the experience API specification. In: 2015 IEEE 15th International Conference on Advanced Learning Technologies (2015)
Barone Rodrigues, A., Dias, D.R.C., Martins, V.F., Bressan, P.A., de Paiva Guimarães, M.: WebAR: a web-augmented reality-based authoring tool with experience API support for educational applications. In: Antona, M., Stephanidis, C. (eds.) UAHCI 2017. LNCS, vol. 10278, pp. 118–128. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58703-5_9
Acknowledgment
The authors would like to thank the Global Affairs Canada for the mobility fellowship granted by the Emerging Leaders in the Americas Program (ELAP), which made possible for this project to be worked on in collaboration with RExLab from Federal University of Santa Catarina/Brazil and L@d at TELUQ University/Canada.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Angeloni, M.P.C., Saliah-Hassane, H., da Silva, J.B., Alves, J.B.d.M. (2021). Model to Evaluate Users’ Engagement to Augmented Reality Using xAPI. In: Auer, M., May, D. (eds) Cross Reality and Data Science in Engineering. REV 2020. Advances in Intelligent Systems and Computing, vol 1231. Springer, Cham. https://doi.org/10.1007/978-3-030-52575-0_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-52575-0_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-52574-3
Online ISBN: 978-3-030-52575-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)