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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 Education Research. (UpCERG)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Education Research. (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, p. 153-157Conference paper, Published paper (Refereed)
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New York: ACM Press, 2017. p. 153-157
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Computer Sciences Educational Sciences
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URN: urn:nbn:se:uu:diva-333188DOI: 10.1145/3141880.3141887ISI: 000458686400021ISBN: 978-1-4503-5301-4 (electronic)OAI: oai:DiVA.org:uu-333188DiVA, id: diva2:1155510
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17th International Conference on Computing Education Research, Koli Calling
Available from: 2017-11-08 Created: 2017-11-08 Last updated: 2021-01-13Bibliographically approved

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Nylén, AlettaEckerdal, Anna

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