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Multimodal Immersive Learning Systems 2021 : Proceedings of the First International Workshop on Multimodal Immersive Learning Systems (MILeS 2021)
Modern cloud-based big data engineering approaches like machine learning and blockchain enable the collection of learner data from numerous sources of different modalities (like video feeds, sensor data etc.), allowing multimodal learning analytics (MMLA) and reflection on the learning process. In particular, complex psycho-motor skills like dancing or operating a complex machine are profiting from MMLA. However, instructors, learners, and other institutional stakeholders may have issues withdoi:10.18154/rwth-2022-01582 fatcat:z4uhikkz6zboxcqjkukoe3f7be