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Direct linkJose Silva-Lugo; Heather Maness – Sage Research Methods Cases, 2025
The study provides a detailed methodological approach, cross-industry standard process for data mining, for predicting at-risk students with an imbalanced class. The objective was to identify the best machine learning model for predicting students at risk of failing the course during weeks 2-8 of the semester. We encountered issues in the dataset,…
Descriptors: Prediction, Predictor Variables, At Risk Students, Information Retrieval
Azziz, Ricardo; Hentschke, Guilbert C.; Jacobs, Lloyd A.; Jacobs, Bonita C. – Johns Hopkins University Press, 2019
With the pool of high school graduates decreasing, national and global competition increasing, and the need to invest in new technologies and approaches growing, many universities and small colleges alike are struggling--not just to thrive, but to survive. In this challenging environment, mergers and consolidations are often viewed as options of…
Descriptors: Higher Education, Universities, Colleges, Organizational Change
