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Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM Activities
Malmö högskola, Faculty of Technology and Society (TS). Malmö högskola, Internet of Things and People (IOTAP).ORCID iD: 0000-0001-9454-0793
UCL Institute of Education, London, UK.
UCL Institute of Education, London, UK.
Malmö högskola, Faculty of Technology and Society (TS). Malmö högskola, Internet of Things and People (IOTAP).
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2016 (English)In: Proceedings of LAK '16 6th International Conference on Learning Analytics and Knowledge, ACM Digital Library, 2016, p. 522-523Conference paper, Published paper (Refereed)
Abstract [en]

This poster explores how to develop a working framework for STEM education that uses both human annotated and machine data across a purpose-built learning environment. Our dual approach is to develop a robust framework for analysis and investigate how to design a learning analytics system to support hands-on engineering design tasks. Data from the first user tests are presented along with the framework for discussion.

Place, publisher, year, edition, pages
ACM Digital Library, 2016. p. 522-523
Keywords [en]
Mobile, Learning Analytics, CSCL
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-16773DOI: 10.1145/2883851.2883920ISI: 000390844700083Scopus ID: 2-s2.0-84976522415Local ID: 24112OAI: oai:DiVA.org:mau-16773DiVA, id: diva2:1420287
Conference
LAK 16 Sixth International Learning Analytics & Knowledge Conference, Edinburgh, Scotland (April 25 - 29, 2016 )
Available from: 2020-03-30 Created: 2020-03-30 Last updated: 2024-04-10Bibliographically approved

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Publisher's full textScopushttp://lak16.solaresearch.org/

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Spikol, DanielVogel, Bahtijar

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  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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