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Data Sharing for Learning Analytics - Questioning the Risks and Benefits

Tore, Hoel, Mason, Jon and Chen, Weiqin (2015). Data Sharing for Learning Analytics - Questioning the Risks and Benefits. In: Ogata, Hiroaki, Chen, Weiqin, Kong, Siu Cheung and Qiu, Feiyue 23rd International Conference on Computers in Education ICCE 2015, Hangzhou, China, 30 November - 4 December 2015.

Document type: Conference Paper
Citation counts: Google Scholar Search Google Scholar

IRMA ID 84550754xPUB72
Author Tore, Hoel
Mason, Jon
Chen, Weiqin
Title Data Sharing for Learning Analytics - Questioning the Risks and Benefits
Conference Name 23rd International Conference on Computers in Education ICCE 2015
Conference Location Hangzhou, China
Conference Dates 30 November - 4 December 2015
Conference Publication Title Proceedings of the 23rd International Conference on Computers in Education ICCE 2015 - Main Proceedings
Editor Ogata, Hiroaki
Chen, Weiqin
Kong, Siu Cheung
Qiu, Feiyue
Place of Publication Japan
Publisher ICCE 2014 Organizing Committee - ICT Unit, Center for Graduate Education Initiative, Japan Advanced Institute of Science and Technology
Publication Year 2015
ISBN 978-4-9908014-5-8   (check CDU catalogue  open catalogue search in new window)
Start Page 228
End Page 237
Total Pages 10
HERDC Category E1 - Conference Publication (DIISR)
Abstract Moving learning analytics from the research labs to the classrooms and lecture halls requires data sharing. Data are not any longer gathered in controlled settings but have to be combined from different sources within the institution and maybe beyond. This scaling up of learning analytics raises a host of questions on behalf of the data subjects providing requirements for design of new solutions and practices. This paper analyses a corpus of more than 200 questions gathered by a European learning analytics support action and explores how these questions could be used to understand the problem space of data sharing and the solution space to be carved out by research and development within this emerging field of learning technologies. The paper concludes the discussion on data sharing and big data for education is still at an early stage, where conceptual issues dominate and there is a long way to go before one can move towards solving issues of technical development and implementation.
Keyword Learning analytics
Interoperability
Questioning
Description for Link Link to conference paper
Link to conference proceedings
URL http://www.apsce.net/uploaded/filemanager/8403f3c2-c0c5-4432-8e4d-f14f70b581f4.pdf
http://www.apsce.net/icces.php?id=f51279ea-b952-4aeb-b5bb-1b2256ff48dd
 
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