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2nd Crossmmla: Multimodal learning analytics across physical and digital spaces
Conference ObjectAbstract: Students’ learning is ubiquitous. It happens wherever the learner is rather than being constrained tPalabras claves:Integration, learning analytics, Multimodal, Seamless learningAutores:Curukova M., Martinez-Maldonado R., Mavrikis M., Prieto L.P., Rodriguez-Triana M.J., Spikol D., Vanessa Echeverria, Worsley M., Xavier OchoaFuentes:googlescopusCrossMMLA in practice: Collecting, annotating and analyzing multimodal data across spaces
Conference ObjectAbstract: Learning is a complex process that is associated with many aspects of interaction and cognition (e.gPalabras claves:Learning spaces, Multimodal learning analytics, sensor dataAutores:Giannakos M.N., Hammad R., Mitri D.D., Molenaar I., Sharma K., Spikol D., Xavier OchoaFuentes:scopusCurrent and future multimodal learning analytics data challenges
Conference ObjectAbstract: Multimodal Learning Analytics (MMLA) captures, integrates and analyzes learning traces from differenPalabras claves:Challenges, Datasets, Multimodal learning analyticsAutores:Curukova M., Prieto L.P., Rodriguez-Triana M.J., Spikol D., Worsley M., Xavier OchoaFuentes:scopusEditorial: Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop
Conference ObjectAbstract: Learning is a complex, mostly invisible process that happens across spaces, occurring in the physicaPalabras claves:BLENDED LEARNING, Learning spaces, Multimodal learning analytics, sensors, Virtual worldsAutores:Hernández-Leo D., Martinez-Maldonado R., Prieto L.P., Rodriguez-Triana M.J., Spikol D., Xavier OchoaFuentes:scopus