A Study on Students’ Timely Progress to Graduation
By looking at enrollments and class capacity in the past few years, we conduct a detailed capacity analysis to examine if the past and current capacity supports the target graduation rate and whether there are any capacity gaps we need to close. We examine catalog and degree roadmaps to assess their robustness and identify where the bottleneck might occur and how to streamline the sequence of the courses to increase the chance for students to graduate on time. Finally, drawing on students’ entrance information (High school GPA, ACT score, etc.) and their academic performance at CSULB, we use various classification models such as logistic regression and KNN to predict if a student can graduate on time.
Hongyu Chen
Professor
Information Systems
Ming Chen
Assistant Professor
Management/Human Resources Management
Xuemei Su
Assistant Professor
Management/Human Resources Management
