Using Common Academic Indicators to Predict Graduation Rates at CSUN, 2005-2014
DOI:
https://doi.org/10.46787/pump.v2i0.225Keywords:
logistic regression; confusion matrix; ROC curve; data visualization; optimal unit loadAbstract
The median time to graduation at California State University, Northridge (CSUN) is five years and fewer than fifty percent of first time freshmen graduate in less than eight years. We used data mining and predictive analytics to determine some of the key academic indicators of success at CSUN. The most important indicators that we found were (a) which math course the student was placed in (or took first); (b) student grade point average (GPA) at the end of each of the first two terms in residence; and (c) successful completion of a freshman experience seminar course (UNIV 100). When all three are considered simultaneously, we can correctly identify over two thirds of the students who will drop out without graduating, while misidentifying approximately one-fifth of students who ultimately graduate as at-risk of not graduating.