Exploring the Value of Different Data Sources for Predicting Student Performance in Multiple CS Courses-Reference-Cited by-同舟云学术

Exploring the Value of Different Data Sources for Predicting Student Performance in Multiple CS Courses

Published:2019-02-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 50th ACM Technical Symposium on Computer Science Education
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Author:

Liao Soohyun Nam¹,Zingaro Daniel²,Alvarado Christine¹,Griswold William G.¹,Porter Leo¹

Affiliation:

1. University of California at San Diego, La Jolla, CA, USA

2. University of Toronto Mississauga, Mississauga, ON, Canada

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3287324.3287407

Reference29 articles.

1. https://www.rdocumentation.org/packages/lmtest/versions/0.9--36/topics/lrtest. https://www.rdocumentation.org/packages/lmtest/versions/0.9--36/topics/lrtest.

2. https://www.rdocumentation.org/packages/stats/versions/3.5.1/topics/glm. https://www.rdocumentation.org/packages/stats/versions/3.5.1/topics/glm.

3. Exploring Machine Learning Methods to Automatically Identify Students in Need of Assistance

4. Bayesian network analysis of computer science grade distributions

5. Evaluating Neural Networks as a Method for Identifying Students in Need of Assistance

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