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