Publikationer från Malmö universitet
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Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP). (Internet of Things and People Research Center)ORCID-id: 0000-0002-9278-8063
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Disciplinary literacy and inclusive teaching.ORCID-id: 0000-0001-9454-0793
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).
2023 (engelsk)Inngår i: L@S '23: Proceedings of the Tenth ACM Conference on Learning @ Scale, ACM Digital Library, 2023, s. 354-359Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
ACM Digital Library, 2023. s. 354-359
Emneord [en]
Multimodal Learning Analytics, System Design, Internet of Things, Scalability
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-63744DOI: 10.1145/3573051.3596186Scopus ID: 2-s2.0-85167870433ISBN: 9798400700255 (tryckt)OAI: oai:DiVA.org:mau-63744DiVA, id: diva2:1813179
Konferanse
Conference on Learning @ Scale, Copenhagen, Denmark, July 20-22, 2023
Tilgjengelig fra: 2023-11-20 Laget: 2023-11-20 Sist oppdatert: 2024-02-01bibliografisk kontrollert

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Ouhaichi, HamzaSpikol, DanielVogel, Bahtijar

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