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SmartLET: Learning analytics to enhance the design and orchestration in scalable, IoT-enriched, and ubiquitous Smart Learning Environments

conferencePaper

DOI:10.1145/3284179.3284291
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Authors: Kloos Carlos Delgado / Dimitriadis Yannis / Hernández-Leo Davinia / Muñoz-Merino Pedro J. / Bote-Lorenzo Miguel L. / Carrió Mar / Alario-Hoyos Carlos / Gómez-Sánchez Eduardo / Santos Patricia

Extracted Abstract:

This paper presents the SmartLET project, a coordinated research project funded by the Spanish Ministry of Science, Innovation and Universities, which just started in 2018. The main aim of this project is to provide support for the design and orchestration of Smart Learning Environments (SLEs) with the support of learning analytics and the Internet of Things. This paper gives an overview of our conception of SLEs based on previous works, provides some ideas about the connection of learning design and orchestration with SLEs, and analyses different ethical and privacy issues for SLEs. In addition, an initial hypothesis and some specific objectives for a support environment for SLEs are proposed. CCS CONCEPTS • Applied Computing → Education → Interactive Learning Environments Applied Computing → Education → E-learning • Information Systems → Information Systems Applications → Data mining KEYWORDS Learning analytics, Internet of Things, smart learning, learning design, orchestration. ACM Reference format: C. Delgado Kloos, I. Dimitriadis, D. Hernández-Leo, P.J. Muñoz-Merino, M.L. Bote-Lorenzo, M. Carrió, C. Alario-Hoyos, E. Gómez-Sánchez and P. Santos. 2018. SmartLET: Learning analytics to enhance the design and orchestration in scalable, IoT-enriched, and ubiquitous Smart Learning Environments. In Proceedings of the 6th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2018) (Salamanca, Spain, October 24-26, 2018), F. J. García-Peñalvo Ed. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3284179.3284291 1

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