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Young, Nicholas T.; Caballero, Marcos D. – Journal of Educational Data Mining, 2021
We encounter variables with little variation often in educational data mining (EDM) due to the demographics of higher education and the questions we ask. Yet, little work has examined how to analyze such data. Therefore, we conducted a simulation study using logistic regression, penalized regression, and random forest. We systematically varied the…
Descriptors: Prediction, Models, Learning Analytics, Mathematics
Krathwohl, David R. – 1998
An integrating framework to explain the research process was presented in the first edition of this book. This edition, which brings the material up to date, is designed to serve the Master s level student better while still meeting the needs of doctoral students of educational research. The nature of research, methods for qualitative and…
Descriptors: Educational Research, Experiments, Graduate Students, Higher Education

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