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A data value chain to support the processing of multimodal evidence in authentic learning scenarios
2019
Learning Analytics Summer Institute Spain
Multimodal Learning Analytics (MMLA) uncovers the possibility to get a more holistic picture of a learning situation than traditional Learning Analytics, by triangulating learning evidence collected from multiple modalities. However, current MMLA solutions are complex and typically tailored to specific learning situations. In order to overcome this problem we are working towards an infrastructure that supports MMLA and can be adapted to different learning situations. As a first step in this
dblp:conf/lasi-spain/ShankarRSOTM19
fatcat:iyj2llucjfd3jog2nplmrel56e