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Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP). (Internet of Things and People Research Center)ORCID iD: 0000-0002-9278-8063
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Disciplinary literacy and inclusive teaching.ORCID iD: 0000-0001-9454-0793
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).
2023 (English)In: L@S '23: Proceedings of the Tenth ACM Conference on Learning @ Scale, ACM Digital Library, 2023, p. 354-359Conference paper, Published paper (Refereed)
Abstract [en]

Designing MMLA systems is a complex task requiring a wide range of considerations. In this paper, we identify key considerations that are essential for designing MMLA systems. These considerations include data management, human factors, sensors and modalities, learning scenarios, privacy and ethics, interpretation and feedback, and data collection. The implications of these considerations are twofold: 1) The need for flexibility in MMLA systems to adapt to different learning contexts and scales, and 2) The need for a researcher-centered approach to designing MMLA systems. Unfortunately, the sheer number of considerations can lead to a state of "analysis paralysis," where deciding where to begin and how to proceed becomes overwhelming. This synthesis paper asks researchers to rethink the design of MMLA systems and aims to provide guidance for developers and practitioners in the field of MMLA.

Place, publisher, year, edition, pages
ACM Digital Library, 2023. p. 354-359
Keywords [en]
Multimodal Learning Analytics, System Design, Internet of Things, Scalability
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mau:diva-63744DOI: 10.1145/3573051.3596186Scopus ID: 2-s2.0-85167870433ISBN: 9798400700255 (print)OAI: oai:DiVA.org:mau-63744DiVA, id: diva2:1813179
Conference
Conference on Learning @ Scale, Copenhagen, Denmark, July 20-22, 2023
Available from: 2023-11-20 Created: 2023-11-20 Last updated: 2024-02-01Bibliographically approved

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Ouhaichi, HamzaSpikol, DanielVogel, Bahtijar

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