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Autor:
Schneider, Jan; di Mitri, Daniele; Limbu, Bibeg; Drachsler, Hendrik:

Titel:
Multimodal learning hub
A tool for capturing customizable multimodal learning experiences

Quelle:
In: Pammer-Schindler, Viktoria; Pérez-Sanagustín, Mer; Drachsler, Hendrik; Elferink, Raymond; Scheffel, Marion (Hrsg.): Lifelong technology-enhanced learning Cham : Springer (2018) , 45-58

Serie:
Lecture Notes in Computer Science, 11082

URL des Volltextes:
http://link.springer.com/chapter/10.1007/978-3-319-98572-5_4

Sprache:
Englisch

Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings

Schlagwörter:
Lernen, Tool, Medieneinsatz, Computerunterstütztes Lernen, Lernprozess, Datenanalyse, Mensch-Maschine-Kommunikation, Lernumgebung


Abstract(englisch):
Studies in Learning Analytics provide concrete examples of how the analysis of direct interactions with learning management systems can be used to optimize and understand the learning process. Learning, however, does not necessarily only occur when the learner is directly interacting with such systems. With the use of sensors, it is possible to collect data from learners and their environment ubiquitously, therefore expanding the use cases of Learning Analytics. For this reason, we developed the Multimodal Learning Hub (MLH), a system designed to enhance learning in ubiquitous learning scenarios, by collecting and integrating multimodal data from customizable configurations of ubiquitous data providers. In this paper, we describe the MLH and report on the results of tests where we explored its reliability to integrate multimodal data. (DIPF/Orig.)


DIPF-Abteilung:
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last modified Nov 11, 2016