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Learning analytics of CS0 students programming errors: the case of data science minor

Published:06 February 2020Publication History

ABSTRACT

In this work, I report the preliminary results and further research design of the study on coding errors in the first year of Data Science Minor course. The larger aim of the project is the analysis of changes in the amount, type, and complexity of errors students get and the connection between the patterns of these changes, mathematical and CS background, as well as self-regulation, motivation, and previous academic successes.

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          cover image ACM Other conferences
          AcademicMindtrek '20: Proceedings of the 23rd International Conference on Academic Mindtrek
          January 2020
          182 pages
          ISBN:9781450377744
          DOI:10.1145/3377290

          Copyright © 2020 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 6 February 2020

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          AcademicMindtrek '20 Paper Acceptance Rate24of45submissions,53%Overall Acceptance Rate110of207submissions,53%

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