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Edit, Run, Error, Repeat: A Longitudinal Analysis of Time-on-Task and Error Quotient
Uppsala University Sweden.ORCID iD: 0000-0003-4250-1201
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0001-5626-1187
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.ORCID iD: 0000-0003-3865-212X
2023 (English)In: Proceedings of 23rd International Conference on Computing Education Research, Koli Calling 2023, Association for Computing Machinery (ACM) , 2023, article id 3631849Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2023. article id 3631849
Keywords [en]
Computer Science Education, Error Quotient, Learning Analytics, Time-on-Task
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-348442DOI: 10.1145/3631802.3631849Scopus ID: 2-s2.0-85185586638OAI: oai:DiVA.org:kth-348442DiVA, id: diva2:1877365
Conference
23rd International Conference on Computing Education Research, Koli Calling 2023, Hybrid, Koli, Finland, Nov 13 2023 - Nov 19 2023
Note

Part of ISBN 9798400716539

QC 20240625

Available from: 2024-06-25 Created: 2024-06-25 Last updated: 2024-06-25Bibliographically approved

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Bälter, OlofBosk, Daniel

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