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Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM Activities

Spikol, Daniel (author)
Malmö högskola,Fakulteten för teknik och samhälle (TS),Internet of Things and People (IOTAP)
Avramides, Katerina (author)
UCL Institute of Education, London, UK
Cukurova, Mutlu (author)
UCL Institute of Education, London, UK
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Vogel, Bahtijar (author)
Malmö högskola,Fakulteten för teknik och samhälle (TS),Internet of Things and People (IOTAP)
Luckin, Rose (author)
UCL Institute of Education, London, UK
Ruffaldi, Emanuele (author)
Scuola Superiore Sant'Anna
Mavrikis, Manolis (author)
UCL Institute of Education, London, UK
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 (creator_code:org_t)
New York, New York, USA : ACM Digital Library, 2016
2016
English.
In: Proceedings of LAK '16 6th International Conference on Learning Analytics and Knowledge. - New York, New York, USA : ACM Digital Library. ; , s. 522-523
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Keyword

Mobile
Learning Analytics
CSCL

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