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533 – SLDS CPapers NEW 2
Real-World Learning Analytics: Modeling Student Academic Practices and Performance
Chantal D. Larose
Eastern Connecticut State University
Kim Y. Ward
Eastern Connecticut State University
We present a real-world learning analytics investigation to model student academic practices and performance in foundational mathematics courses. Segmentation analyses seek to clarify patterns through modeling subpopulations of student academic practices and various common course requirements. The effects of cost matrices and of rebalancing the data are examined, and their impact on the conclusions quantified. Final results include data driven guidelines for future student interventions.