Customized course advising: investigating engineering student success with incoming profiles and patterns of concurrent course enrollment

Authors:
SungJin Nam;Steven Lonn;Thomas Brown;Cinda-Sue Davis;Darryl Koch
Affiliations:
University of Michigan, Washtenaw, Ann Arbor, MI;University of Michigan, Ann Arbor, MI;University of Michigan, Ann Arbor, MI;University of Michigan, Washtenaw, Ann Arbor, MI;University of Michigan, Ann Arbor, MI
Venue:
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Year:
2014

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Abstract

Every college student registers for courses from a catalog of numerous offerings each term. Selecting the courses in which to enroll, and in what combinations, can dramatically impact each student's chances for academic success. Taking inspiration from the STEM Academy, we wanted to identify the characteristics of engineering students who graduate with 3.0 or above grade point average. The overall goal of the Customized Course Advising project is to determine the optimal term-by-term course selections for all engineering students based on their incoming characteristics and previous course history and performance, paying particular attention to concurrent enrollment. We found that ACT Math, SAT Math, and Advanced Placement exam can be effective measures to measure the students' academic preparation level. Also, we found that some concurrent course-enrollment patterns are highly predictive of first-term and overall academic success.