Malmö University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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).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).ORCID iD: 0000-0001-6708-5983
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: 10.1145/3573051.3596186ISI: 001125787500048Scopus 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: 2025-01-21Bibliographically approved
In thesis
1. A framework for designing and analyzing multimodal learning analytics systems
Open this publication in new window or tab >>A framework for designing and analyzing multimodal learning analytics systems
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The integration of technology in education offers transformative potential, especially with the advent of data-driven approaches that can personalize learning, support educators, and provide valuable insights into the learning process. Multimodal learning analytics (MMLA) holds remarkable promise within this context. By capturing and analyzing data from multiple sources—including video, audio, and digital interactions—MMLA systems offer a holistic view of learning experiences and the ability to tailor interventions in real time. This application has profound implications for understanding and enhancing learning experiences. However, the design of such sophisticated systems poses a significant challenge. Without conventional and field-tested frameworks, MMLA system development often remains self-driven and tailored to specific contexts, limiting both these systems’ broader adoption and full utilization. This thesis proposes a structured framework for designing MMLA systems across diverse educational contexts to address this fundamental challenge. The development of the framework followed a multifaceted methodology. In addition, action design research involving empirical studies, literature reviews, and expert interviews was employed to establish a set of foundational design considerations. The framework was then applied and refined within real-world educational settings. These included applications in the context of a globally distributed classroom and language acquisition environments. This practical application led to refinements that enhanced the framework’s adaptability and user-centric design. This thesis makes three key contributions: (1) a set of design considerations for MMLA systems, (2) a framework offering a structured guide for the design of MMLA systems, and (3) a conceptual system demonstrating the framework’s principles. The implications of this work are significant for researchers and stakeholders in MMLA, providing a foundation for future MMLA system development and ensuring more systematic and conventional design practices. This structured approach paves the way for broader adoption and integration of MMLA, ultimately enhancing educational outcomes and fostering personalized learning environments.

Place, publisher, year, edition, pages
Malmö: Malmö University Press, 2024. p. 83
Series
Studies in Computer Science ; 26
Keywords
Multimodal Learning Analytics, Educational Technology, Smart learning Environments, Internet of Things
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:mau:diva-70111 (URN)10.24834/isbn.9789178775217 (DOI)978-91-7877-520-0 (ISBN)978-91-7877-521-7 (ISBN)
Public defence
2024-09-24, Auditorium C, Niagara, auditorium C, Nordenskiöldsgatan 1, Malmö, 09:00 (English)
Opponent
Supervisors
Available from: 2024-08-26 Created: 2024-08-09 Last updated: 2024-09-18Bibliographically approved

Open Access in DiVA

fulltext(713 kB)165 downloads
File information
File name FULLTEXT01.pdfFile size 713 kBChecksum SHA-512
8b5da44aadef9c482653a83b14a5668718e0aac13168dc4a27b7fe2aa8e5c817a0ad130a3edcc28907cc7f68a2284eb6de85df5bc679686b9cc29c2994614ea7
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Ouhaichi, HamzaSpikol, DanielVogel, Bahtijar

Search in DiVA

By author/editor
Ouhaichi, HamzaSpikol, DanielVogel, Bahtijar
By organisation
Department of Computer Science and Media Technology (DVMT)Internet of Things and People (IOTAP)Disciplinary literacy and inclusive teaching
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 165 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 313 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf