RT Conference Proceedings
T1 SmartLET: learning analytics to enhance the design and orchestration in scalable, IoT-enriched, and ubiquitous Smart Learning Environments
A1 Delgado Kloos, Carlos
A1 Dimitriadis, Yannis
A1 Hernández-Leo, Davinia
A1 Muñoz Merino, Pedro José
A1 Bote-Lorenzo, Miguel Luis
A1 Carrió, Mar
A1 Alario-Hoyos, Carlos
A1 Gómez-Sánchez, Eduardo
A1 Santos Rodríguez, Patricia
AB 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.
PB Association For Computing Machinery (ACM)
SN 978-1-4503-6518-5
YR 2018
FD 2018-10
LK https://hdl.handle.net/10016/32711
UL https://hdl.handle.net/10016/32711
LA eng
NO Proceeding of: 6th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2018), Salamanca, Spain, 24-26 October 2018
DS e-Archivo
RD 1 sept. 2024