Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems
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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.
Original language | English |
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Title of host publication | L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale |
Number of pages | 6 |
Publisher | Association for Computing Machinery |
Publication date | 2023 |
Pages | 354-359 |
ISBN (Electronic) | 979-8-4007-0025-5 |
DOIs | |
Publication status | Published - 2023 |
Event | 10th ACM Conference on Learning @ Scale, L@S 2023 - Copenhagen, Denmark Duration: 20 Jul 2023 → 22 Jul 2023 |
Conference
Conference | 10th ACM Conference on Learning @ Scale, L@S 2023 |
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Land | Denmark |
By | Copenhagen |
Periode | 20/07/2023 → 22/07/2023 |
Sponsor | ACM |
Series | L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale |
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Bibliographical note
Publisher Copyright:
© 2023 Owner/Author.
- internet of things, multimodal learning analytics, scalability, system design
Research areas
ID: 390397237