2026-05-05T20:50:30Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/492912021-10-24T18:33:45Zcom_10324_985com_10324_954com_10324_894col_10324_988

Serrano Iglesias, Sergio Spikol, Daniel Bote Lorenzo, Miguel Luis Ouhaichi, Hamza Gómez Sánchez, Eduardo Vogel, Bahtijar Producción Científica Smart Learning Environments and Learning Analytics hold promise of providing personalized support to learners according to their individual needs and context. This support can be achieved by collecting and analyzing data from the different learning tools and systems that are involved in the learning experience. This paper presents a first exploration of requirements and considerations for the integration of two systems: MBOX, a Multimodal Learning Analytics system for the physical space (human behavior and learning context), and SCARLETT, an SLE for the support during across-spaces learning situations combining different learning systems. This integration will enable the SLE to have access to a new and wide range of information, notably students’ behavior and social interactions in the physical learning context (e.g. classroom). The integration of multimodal data with the data coming from the digital learning environments will result in a more holistic system, therefore producing learning analytics that trigger personalized feedback and learning resources. Such integration and support is illustrated with a learning scenario that helps to discuss how these analytics can be derived and used for the intervention by the SLE. 2021-10-22 2021-10-22 2021 info:eu-repo/semantics/conferenceObject De Laet, Tinne; Klemke, Roland; Alario Hoyos, Carlos; Hilliger, Isabel; Ortega Arranz, Alejandro (eds.). 16th European Conference on Technology Enhanced Learning, EC-TEL 2021, Bolzano (Italy), 2021 978-3-030-86436-1 https://uvadoc.uva.es/handle/10324/49291 eng http://ceur-ws.org info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ © 2021 by authors Atribución 4.0 Internacional CEUR Workshop Proceedings