In this work in progress, several models to predict student success in a sophomore introduction to circuit analysis class were created based on prior grade point average, grade in a pre-requisite physics class, the semester the pre-requisite physics class was taken, the number of units a student was taking, the number of times a student repeated the circuits class, and the number of times a student repeated any class prior to enrollment. While all models were statistically significant, the model that included prior GPA and the grade in a pre-requisite physics was the most significant for the data collection effort. While further study is needed, this is an important first step in creating a reliable model of student success that can be used to investigate educational treatments.
David Parent. "Examination the impact of various factors on student success in an introduction to circuit analysis course" 48th Annual Frontiers in Education (FIE) Conference (2018).