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
Adaptable Smart Learning Environments supported by Multimodal Learning Analytics
GSIC-EMIC Research Group, Universidad de Valladolid, Spain.
Departments of Computer Science and Science Education, University of Copenhagen, Denmark.
GSIC-EMIC Research Group, Universidad de Valladolid, Spain.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-9278-8063
Show others and affiliations
2021 (English)In: Proceedings of the LA4SLE 2021 Workshop: Learning Analytics for Smart Learning Environmentsco-located with the 16th European Conference on Technology Enhanced Learning 2021 (ECTEL 2021) / [ed] Davinia Hernández-Leo, Elise Lavoué, Miguel L. Bote-Lorenzo, Pedro J. Muñoz-Merino, Daniel Spikol, 2021, p. 24-30Conference paper, Published paper (Refereed)
Abstract [en]

Smart Learning Environments and Learning Analytics hold promise of providing personalized support to learners according to their individual needs and context. This support can be achieved by collecting and analyzing data from the different learning tools and systems that are involved in the learning experience. This paper presents a first exploration of requirements and considerations for the integration of two systems: MBOX, a Multimodal Learning Analytics system for the physical space (human behavior and learning context), and SCARLETT, an SLE for the support during across-spaces learning situations combining different learning systems. This integration will enable the SLE to have access to a new and wide range of information, notably students’ behavior and social interactions in the physical learning context (e.g. classroom). The integration of multimodal data with the data coming from the digital learning environments will result in a more holistic system, therefore producing learning analytics that trigger personalized feedback and learning resources. Such integration and support is illustrated with a learning scenario that helps to discuss how these analytics can be derived and used for the intervention by the SLE.

    

Place, publisher, year, edition, pages
2021. p. 24-30
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mau:diva-48217ISBN: 978-3-030-86436-1 (electronic)OAI: oai:DiVA.org:mau-48217DiVA, id: diva2:1620861
Conference
EC-TEL 2021: Learning Analytics for Smart Learning Environments, September 21, 2021, Bolzano, Italy
Available from: 2021-12-16 Created: 2021-12-16 Last updated: 2023-07-04Bibliographically 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

Open Access in DiVA

fulltext(532 kB)144 downloads
File information
File name FULLTEXT01.pdfFile size 532 kBChecksum SHA-512
0c506ed6f304c0d53444710cd08fe048241f019422bf39de253f839f46863778aa3468f87d7e0117ea03e75a3a15ba8aa89d69cd6d33ad1d21418450acef3ebe
Type fulltextMimetype application/pdf

Other links

Conference web page

Authority records

Ouhaichi, HamzaVogel, Bahtijar

Search in DiVA

By author/editor
Ouhaichi, HamzaVogel, Bahtijar
By organisation
Department of Computer Science and Media Technology (DVMT)Internet of Things and People (IOTAP)
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 144 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

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 358 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