2026-04-27T14:40:52Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/248952025-02-25T08:31:28Zcom_10324_1191com_10324_931com_10324_894col_10324_1381

Muñoz Cristobal, Juan Alberto Rodríguez Triana, María Jesús Bote Lorenzo, Miguel Luis Villagrá Sobrino, Sara Lorena Asensio Pérez, Juan Ignacio Martínez Monés, Alejandra 2017-08-17T11:37:46Z 2017-08-17T11:37:46Z 2017 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 http://uvadoc.uva.es/handle/10324/24895 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. eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 International Toward multimodal analytics in ubiquitous learning environments info:eu-repo/semantics/conferenceObject