The Big Five: Addressing Recurrent Multimodal Learning Data Challenges

Daniele Di Mitri, Jan Schneider, Marcus Specht, Hendrik Drachsler

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    Abstract

    The analysis of multimodal data in learning is a growing field of research, which has led to the development of different analytics solutions. However, there is no standardised 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 in which the authors will open up the prototypes for trials, validation and feedback.
    Original languageEnglish
    Title of host publicationCompanion Proceedings of the 8th International Conference on Learning Analytics and Knowledge
    Subtitle of host publicationTowards User-Centred Learning Analytics
    Place of PublicationSyndey, Australia
    PublisherSoLAR
    Pages420-424
    Number of pages5
    Publication statusPublished - Mar 2018
    EventThe 8th International Learning Analytics & Knowledge Conference - SMC Conference & Function Centre, Sydney, Australia
    Duration: 5 Mar 20189 Mar 2018
    https://latte-analytics.sydney.edu.au/

    Conference

    ConferenceThe 8th International Learning Analytics & Knowledge Conference
    Abbreviated titleLAK18
    Country/TerritoryAustralia
    CitySydney
    Period5/03/189/03/18
    Internet address

    Keywords

    • multimodal learning analytics
    • wearables
    • CrossMMLA
    • sensor-based learning

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    • Multimodal Challenge: Analytics Beyond User-computer Interaction Data

      Di Mitri, D., Schneider, J., Specht, M. & Drachsler, H., Mar 2018, Companion Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK'18): Towards User-Centred Learning Analytics. Pardo, A., Bartimote, K., Lynch, G., Buckingham Shum, S., Ferguson, R., Merceron, A. & Ochoa, X. (eds.). Sydney, Australia: SoLAR, p. 364-367 4 p.

      Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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