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MBOX: Designing a Flexible IoT Multimodal Learning Analytics System
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-9278-8063
Univ Copenhagen, Dept Sci Educ, Copenhagen, Denmark..ORCID iD: 0000-0001-9454-0793
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
2021 (English)In: IEEE 21st International Conferenceon Advanced Learning TechnologiesICALT 2021 / [ed] Chang, M., Chen, NS., Sampson, DG., Tlili, A., IEEE, 2021, p. 122-126Conference paper, Published paper (Refereed)
Abstract [en]

Multimodal Learning Analytics (MMLA) provides opportunities for understanding and supporting collaborative problem-solving. However, the implementation of MMLA systems is challenging due to the lack of scalable technologies and limited solutions for collecting data from group work. This paper proposes the Multimodal Box (MBOX), an IoT-based system for MMLA, allowing the collection and processing of multimodal data from collaborative learning tasks. MBOX investigates the development and design for an IoT focusing on small group work in real-world settings. Moreover, MBOX promotes adaptation to different learning environments and enables a better scaling of computational resources used within the learning context.

Place, publisher, year, edition, pages
IEEE, 2021. p. 122-126
Series
IEEE International Conference on Advanced Learning Technologies, ISSN 2161-3761
Keywords [en]
Multimodal Learning Analytics, CSCL, IoT, Interaction Design, Human Social Signal Processing
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-48140DOI: 10.1109/ICALT52272.2021.00044ISI: 000719352000038Scopus ID: 2-s2.0-85114887166ISBN: 978-1-6654-4106-3 (electronic)OAI: oai:DiVA.org:mau-48140DiVA, id: diva2:1620225
Conference
IEEE 21st International Conference on Advanced Learning Technologies, 12–15 July 2021 Online
Available from: 2021-12-15 Created: 2021-12-15 Last updated: 2024-02-05Bibliographically approved
In thesis
1. Towards designing a flexible multimodal learning analytics system
Open this publication in new window or tab >>Towards designing a flexible multimodal learning analytics system
2022 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Malmö: Malmö universitet, 2022. p. 43
Series
Studies in Computer Science ; 19
National Category
Computer Systems Signal Processing
Identifiers
urn:nbn:se:mau:diva-51502 (URN)10.24834/isbn.9789178772988 (DOI)978-91-7877-297-1 (ISBN)978-91-7877-298-8 (ISBN)
Supervisors
Available from: 2022-05-18 Created: 2022-05-17 Last updated: 2022-11-07Bibliographically approved

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Ouhaichi, HamzaSpikol, DanielVogel, Bahtijar

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