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Examining manual and semi-automated methods of analysing MOOC data for computing education
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science. (UpCERG)ORCID iD: 0000-0003-0513-9338
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2017 (English)In: Proc. 17th International Conference on Computing Education Research: Koli Calling, New York: ACM Press, 2017, 153-157 p.Conference paper, Published paper (Refereed)
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New York: ACM Press, 2017. 153-157 p.
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Computer Science Educational Sciences
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URN: urn:nbn:se:uu:diva-333188DOI: 10.1145/3141880.3141887ISBN: 978-1-4503-5301-4 (electronic)OAI: oai:DiVA.org:uu-333188DiVA: diva2:1155510
Available from: 2017-11-08 Created: 2017-11-08 Last updated: 2017-11-17Bibliographically approved

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Nylén, AlettaEckerdal, Anna

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