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View all- Li CHerbert NYeom SMontgomery J(2022)Retention Factors in STEM Education Identified Using Learning Analytics: A Systematic ReviewEducation Sciences10.3390/educsci1211078112:11(781)Online publication date: 3-Nov-2022
Learning analytics of CS0 students programming errors: the case of data science minor
Pages 149 - 152
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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Published: 06 February 2020
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View all- Li CHerbert NYeom SMontgomery J(2022)Retention Factors in STEM Education Identified Using Learning Analytics: A Systematic ReviewEducation Sciences10.3390/educsci1211078112:11(781)Online publication date: 3-Nov-2022
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