Towards Accurate and Fair Prediction of College Success : Evaluating Different Sources of Student Data / Renzhe Yu, Qiujie Li and Christian Fischer.

In higher education, predictive analytics can provide actionable insights to diverse stakeholders such as administrators, instructors, and students. Separate feature sets are typically used for different prediction tasks, e.g., student activity logs for predicting in-course performance and registrar...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Yu, Renzhe, Li, Qiujie (Author), Fischer, Christian (Author), Doroudi, Shayan (Author), Xu, Di (Author)
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2020.
Subjects:	Prediction. Accuracy. College Students. Success. Data. Integrated Learning Systems. Student Surveys. Predictive Validity. Disadvantaged. Learning Analytics. Bias.