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Exploring the inter...
Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM Activities
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- Spikol, Daniel (författare)
- Malmö högskola,Fakulteten för teknik och samhälle (TS),Internet of Things and People (IOTAP)
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- Avramides, Katerina (författare)
- UCL Institute of Education, London, UK
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- Cukurova, Mutlu (författare)
- UCL Institute of Education, London, UK
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- Vogel, Bahtijar (författare)
- Malmö högskola,Fakulteten för teknik och samhälle (TS),Internet of Things and People (IOTAP)
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- Luckin, Rose (författare)
- UCL Institute of Education, London, UK
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- Ruffaldi, Emanuele (författare)
- Scuola Superiore Sant'Anna
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- Mavrikis, Manolis (författare)
- UCL Institute of Education, London, UK
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(creator_code:org_t)
- New York, New York, USA : ACM Digital Library, 2016
- 2016
- Engelska.
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Ingår i: Proceedings of LAK '16 6th International Conference on Learning Analytics and Knowledge. - New York, New York, USA : ACM Digital Library. ; , s. 522-523
- Relaterad länk:
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http://lak16.solares...
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https://discovery.uc...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Nyckelord
- Mobile
- Learning Analytics
- CSCL
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)