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2nd Crossmmla: Multimodal learning analytics across physical and digital spaces
University of Technology, Sydney, Australia.
University of Technology, Sydney, Australia.
School of Educational Sciences, Tallin University, Estonia.
École Polytechnique Fédérale de Lausanne & Tallinn University, Estonia.
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2018 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

Students’ learning is ubiquitous. It happens wherever the learner is rather than being constrained to a specific physical or digital learning space (e.g. the classroom or the institutional LMS respectively). A critical question is: how to integrate and coordinate learning analytics to provide continued support to learning across physical and digital spaces? CrossMMLA is the successor to the Learning Analytics Across Spaces (CrossLAK) and MultiModal Learning Analytics (MMLA) series of workshops that were merged in 2017 after successful cross-pollination between the two communities. Although it may be said that CrossLAK and MMLA perspectives follow different philosophical and practical approaches, they both share a common aim. This aim is: deploying learning analytics innovations that can be used across diverse authentic learning environments whilst learners feature various modalities of interaction or behaviour.

Place, publisher, year, edition, pages
CEUR , 2018.
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 2163
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:mau:diva-45608OAI: oai:DiVA.org:mau-45608DiVA, id: diva2:1590772
Conference
Second Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA 2018), Sydney, Australia, March 06, 2018.
Available from: 2021-09-03 Created: 2021-09-03 Last updated: 2022-07-22Bibliographically approved

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Preface(222 kB)71 downloads
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Spikol, Daniel

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CiteExportLink to record
Permanent link

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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
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