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Identifying the Predictors of Mathematics Anxiety, Confidence, and Performance in Canada: An Educational Data Mining Approach
Download2024-03-13
Bulut, Okan, Clelland, Ashley, Wongvorachan, Tarid
The goal of this study was to identify important and actionable (i.e., can be acted upon) predictors of mathematics performance, mathematics anxiety, and confidence in mathematics among Canadian and Alberta students. The study followed an explanatory sequential mixed methods design, combining...
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Investigating Feature Importance In Educational Data, Towards Handling Data Missingness in Classification Tasks
DownloadSpring 2024
The problem of missing data is unavoidable in many research fields, especially in education where data can be missing for justifiable reasons. Missing data causes bias in analysis, and traditional methods like complete case analysis and single imputation are suboptimal yet typically used to...