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Autor*innen: Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik
Titel: The big five. Addressing recurrent multimodal learning data challenges
Erscheinungsvermerk: Sydney: University of Technology, 2018 (Second Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA) workshop @ LAK18)
URL: http://crossmmla.org/wp-content/uploads/2018/02/CrossMMLA2018_paper_9.pdf
Dokumenttyp: 5. Arbeits- und Diskussionspapiere; Stellungnahme/Positionspapier
Sprache: Englisch
Schlagwörter: E-Learning; Lernen; Daten; Lernumgebung; Lernverhalten; Lernerfolg; Lernprozess; Analyse; Datenerfassung; Erhebungsinstrument; Benutzerfreundlichkeit; Validität; Computerunterstütztes Verfahren
Abstract (english): The analysis of multimodal data in learning is a growing field of research, whic has led to the development of different analytics solutions. However, there is no standardized approach to handle multimodal data. In this paper, we describe and outline a solution for five recurrent challenges in the analysis of multimodal data: the data collection, storing, annotation, processing and exploitation. For each of these challenges, we envision possible solutions. The prototypes for some of the proposed solutions will be discussed during the Multimodal Challenge of the Fourth Learning Analytics & Knowledge Hackathon, a two-day hands-on workshop that will open the prototypes for trials, validation and feedback. (DIPF/Orig.)
DIPF-Abteilung: Informationszentrum Bildung