Adaptable smart learning environments supported by multimodal learning analytics
Research output: Contribution to journal › Conference article › Research › peer-review
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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.
Original language | English |
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Journal | CEUR Workshop Proceedings |
Volume | 3024 |
Pages (from-to) | 24-30 |
ISSN | 1613-0073 |
Publication status | Published - 2021 |
Event | LA4SLE Workshop: Learning Analytics for Smart Learning Environments, LA4SLE 2021 - Virtual, Online Duration: 21 Sep 2021 → 21 Sep 2021 |
Conference
Conference | LA4SLE Workshop: Learning Analytics for Smart Learning Environments, LA4SLE 2021 |
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City | Virtual, Online |
Period | 21/09/2021 → 21/09/2021 |
Bibliographical note
Publisher Copyright:
© 2021 CEUR-WS. All rights reserved.
- Across spaces, Learning design, Multimodal learning analytics, Smart learning environments
Research areas
Links
- http://ceur-ws.org/Vol-3024/paper4.pdf
Final published version
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