Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming

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dc.contributor University of Helsinki, Aalto University en
dc.contributor University of Helsinki, RAGE - Agile Education Research group / Matti Luukkainen en
dc.contributor.author Leinonen, Juho
dc.contributor.author Castro, Francisco Enrique Vicente
dc.contributor.author Hellas, Arto
dc.date.accessioned 2021-09-02T11:34:02Z
dc.date.available 2021-09-02T11:34:02Z
dc.date.issued 2021-07-02
dc.identifier.citation Leinonen , J , Castro , F E V & Hellas , A 2021 , Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming . in Proceedings of The 14th International Conference on Educational Data Mining (EDM 2021) . The International Educational Data Mining Society , pp. 648-653 , The 14th International Conference on Educational Data Mining , Paris , France , 29/06/2021 . < https://educationaldatamining.org/edm2021/proceedings/ > en
dc.identifier.citation conference en
dc.identifier.other PURE: 167842536
dc.identifier.other PURE UUID: df8f67e2-6bb2-4fe8-9262-1651f29dd51f
dc.identifier.other ORCID: /0000-0001-6829-9449/work/99386543
dc.identifier.uri http://hdl.handle.net/10138/333945
dc.format.extent 6
dc.language.iso eng
dc.publisher The International Educational Data Mining Society
dc.relation.ispartof Proceedings of The 14th International Conference on Educational Data Mining (EDM 2021)
dc.relation.uri https://educationaldatamining.org/edm2021/proceedings/
dc.rights en
dc.subject 113 Computer and information sciences en
dc.title Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming en
dc.type Conference contribution
dc.type.uri info:eu-repo/semantics/other
dc.contributor.pbl
dc.contributor.pbl

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