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Activity Number: 533 - SLDS CPapers NEW 2
Type: Contributed
Date/Time: Wednesday, August 1, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Learning and Data Science
Abstract #329692 Presentation
Title: Real-World Learning Analytics: Modeling Student Academic Practices and Performance
Author(s): Chantal D. Larose* and Kim Y. Ward
Companies: Eastern Connecticut State University and Eastern Connecticut State University
Keywords: learning analytics; data science; cost matrices; predictive analytics; modeling

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.

Authors who are presenting talks have a * after their name.

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