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

Juho Leinonen; Francisco Enrique Vicente Castro; Arto Hellas

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

Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional

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Original language	English
Title of host publication	Proceedings of The 14th International Conference on Educational Data Mining (EDM 2021)
Publisher	International Educational Data Mining Society (IEDMS)
Pages	648-653
Number of pages	6
Publication status	Published - 2 Jul 2021
MoE publication type	D3 Professional conference proceedings
Event	International Conference on Educational Data Mining - Virtual, Online Duration: 29 Jun 2021 → 2 Jul 2021 Conference number: 14 https://educationaldatamining.org/edm2021/

Conference

Conference	International Conference on Educational Data Mining
Abbreviated title	EDM
City	Virtual, Online
Period	29/06/2021 → 02/07/2021
Internet address	https://educationaldatamining.org/edm2021/

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EDM2021_TimeOnTaskAccepted author manuscript, 150 KB

https://educationaldatamining.org/EDM2021/EDM2021Proceedings.pdf

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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) (pp. 648-653). International Educational Data Mining Society (IEDMS). https://educationaldatamining.org/EDM2021/EDM2021Proceedings.pdf

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Leinonen, J, Castro, FEV & 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). International Educational Data Mining Society (IEDMS), pp. 648-653, International Conference on Educational Data Mining, Virtual, Online, 29/06/2021. <https://educationaldatamining.org/EDM2021/EDM2021Proceedings.pdf>

Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming. / Leinonen, Juho; Castro, Francisco Enrique Vicente; Hellas, Arto.

Proceedings of The 14th International Conference on Educational Data Mining (EDM 2021). International Educational Data Mining Society (IEDMS), 2021. p. 648-653.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional

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PY - 2021/7/2

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Y2 - 29 June 2021 through 2 July 2021

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