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