RT info:eu-repo/semantics/conferenceObject
T1 Toward Multimodal Analytics in Ubiquitous Learning Environments
T2 International Conference on Learning Analytics & Knowledge (7º. 2017. Vancouver, Canada)
A1 Muñoz Cristóbal, Juan Alberto
A1 Rodríguez Triana, María Jesús
A1 Bote Lorenzo, Miguel Luis
A1 Villagrá Sobrino, Sara Lorena
A1 Asensio Pérez, Juan Ignacio
A1 Martínez Monés, Alejandra
K1 Aprendizaje ubicuo
AB While Ubiquitous Learning Environments (ULEs) have shown several benefits for learning, they pose challenges for orchestration. Teachers need to be aware of the learning process, which is difficult to achieve when it occurs across a heterogeneous set of spaces, resources and devices. In addition, ULEs can benefit from multimodal analyses due to the heterogeneity of the data sources available (e.g., logs, geolocation, sensor information, learning artifacts). In previous works, we proposed an orchestration system with some analytics features that can gather multimodal datasets during the learning process. Based on this experience, in this paper we describe the technological support provided by the system to collect data from multiple spaces and sources as well as the structure of the generated dataset. We also reflect about the challenges of multimodal learning analytics (MMLA) in ULEs, and we pose some ideas about how the system could better support MMLA in the future to mitigate those challenges.
PB Association for Computing Machinery (ACM)
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/24895
UL http://uvadoc.uva.es/handle/10324/24895
LA eng
NO Muñoz-Cristóbal, J.A.,  Rodríguez-Triana, M.J.,  Bote-Lorenzo, M.L.,  Villagrá-Sobrino, S.L.,  Asensio-Pérez, J.I.,  Martínez-Monés, A. Toward Multimodal Analytics in Ubiquitous Learning Environments. Proceedings of the Sixth Multimodal Learning Analytics Workshop at the International Learning Analytics and Knowledge Conference, LAK 2017, Vancouver, Canada, March 2017
NO Producción Científica
DS UVaDOC
RD 27-nov-2024