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dc.contributor.authorGiannakos, Michail
dc.contributor.authorSpikol, Daniel
dc.contributor.authorDi Mitri, Daniele
dc.contributor.authorKshitij, Kshitij
dc.contributor.authorOchoa, Xavier
dc.contributor.authorHammad, Rawad
dc.date.accessioned2023-03-09T11:31:08Z
dc.date.available2023-03-09T11:31:08Z
dc.date.created2023-01-24T09:53:21Z
dc.date.issued2022
dc.identifier.isbn978-3-031-08076-0
dc.identifier.urihttps://hdl.handle.net/11250/3057309
dc.description.abstractThis chapter provides an introduction and an overview of this edited book on Multimodal Learning Analytics (MMLA). The goal of this book is to introduce the reader to the field of MMLA and provide a comprehensive overview of contemporary MMLA research. The contributions come from diverse contexts to support different objectives and stakeholders (e.g., learning scientists, policymakers, technologists). In this first introductory chapter, we present the history of MMLA and the various ongoing challenges, giving a brief overview of the contributions of the book, and conclude by highlighting the potential emerging technologies and practices connected with MMLA.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofThe Multimodal Learning Analytics Handbook
dc.titleIntroduction to Multimodal Learning Analyticsen_US
dc.title.alternativeIntroduction to Multimodal Learning Analyticsen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber3-28en_US
dc.identifier.doi10.1007/978-3-031-08076-0_1
dc.identifier.cristin2113776
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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