Multimodal learning hub. A tool for capturing customizable multimodal learning experiences.

Autor/inn/en	Schneider, Jan; Di Mitri, Daniele; Limbu, Bibeg; Drachsler, Hendrik
Titel	Multimodal learning hub. A tool for capturing customizable multimodal learning experiences.
Quelle	Aus: Pammer-Schindler, Viktoria (Hrsg.); Pérez-Sanagustín, Mar (Hrsg.); Drachsler, Hendrik (Hrsg.); Elferink, Raymond (Hrsg.); Scheffel, Maren (Hrsg.): Lifelong technology-enhanced learning. 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, proceedings. Cham: Springer (2018) S. 45-58 PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	Lecture notes in computer science. 11082
Beigaben	Illustrationen
Sprache	englisch
Dokumenttyp	online; gedruckt; Sammelwerksbeitrag
ISBN	978-3-319-98571-8; 978-3-319-98572-5
DOI	10.1007/978-3-319-98572-5_4
Schlagwörter	Medieneinsatz; Lernen; Lernprozess; Lernumgebung; Computerunterstützter Unterricht; Datenanalyse; Mensch-Maschine-Kommunikation; Tool
Abstract	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.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2019/3