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Enrollment patterns and students’ risk of academic difficulty
Summary
This article investigates the correlation between co-enrollment patterns and students’ risk of academic difficulty in introductory gateway courses. Quantile regression is used to analyze the impact of co-enrollment variables, such as disciplinary alignment, on student success. Results show that there are significant relationships between student success and co-enrollment patterns, and that the impact of these relationships differs by students’ performance quantile in the focal courses. The article provides a generalizable methodology that can be used to investigate curricular pathways that have the potential to reduce student success.
Q&As
What is the purpose of this paper?
The purpose of this paper is to expand upon an existing framework that investigates students’ academic difficulty in co-enrolled courses by adding additional co-enrollment variables that may influence academic performance in introductory gateway courses.
What research methods were used to analyze the impact of students' co-enrollment patterns on academic performance?
This study uses quantile regression to better understand academic difficulty in co-enrolled courses and the impact that students’ co-enrollment patterns may have on their success in focal introductory gateway courses.
What relationships were found between student success and co-enrollment patterns?
This study revealed significant relationships between student success and co-enrollment patterns, including: the disciplinary alignment of the course with a student’s major, the student’s co-enrollment in other difficult courses and experiencing below average academic performance in a co-enrolled course.
What practical implications can be drawn from the study's findings?
The results point to factors related to the student and their co-enrolled courses that faculty, academic advisors and curriculum committees can consider as they design general education requirements within and across disciplinary majors.
What is the generalizable methodology used to investigate curricular pathways that have the potential to reduce student success?
This approach advances the understanding of how a prescribed curriculum produces interdependent pathways that can promote or deter students’ success through the organization of curricular requirements and student course taking. The paper provides a generalizable methodology that can be used by other universities to investigate curricular pathways that have the potential to reduce student success.
AI Comments
👍 This paper provides a great generalizable methodology that can be used by other universities to investigate curricular pathways that have the potential to reduce student success.
👎 This paper does not provide enough detail on how to effectively reduce student success in gateway courses.
AI Discussion
Me: It discusses enrollment patterns and students' risk of academic difficulty in introductory gateway courses. It looks at how co-enrollment patterns can influence student success in these courses and provides a methodology for other universities to investigate curricular pathways that could reduce student success.
Friend: That's really interesting! What are the implications of this article?
Me: One of the implications is that faculty, academic advisors, and curriculum committees can consider the disciplinary alignment of courses with students' majors when designing general education requirements. It also suggests that looking at students' co-enrollment in other difficult courses, as well as their below-average academic performance in a co-enrolled course, can help to predict their success in a focal introductory gateway course. Finally, this article provides a generalizable methodology that can be used to evaluate curricular pathways that could reduce student success.
Action items
- Analyze the curricular pathways of your university to identify potential areas of difficulty for students.
- Work with faculty, academic advisors, and curriculum committees to design general education requirements that are better aligned with students’ majors.
- Utilize quantile regression to better understand the impact of co-enrollment patterns on student success in introductory gateway courses.
Technical terms
- Enrollment patterns
- The way in which students choose to enroll in courses.
- Risk of academic difficulty
- The likelihood that a student will experience difficulty in their academic studies.
- Access and purchase options
- Different ways to access and purchase content.
- Rent from DeepDyve
- A service that allows users to rent content from DeepDyve.
- Other access
- Other ways to access content, such as logging in via an Emerald profile.
- Quantile regression
- A statistical technique used to analyze data and identify relationships between variables.
- Academic performance
- A measure of a student's success in their academic studies.
- Curriculum analytics
- The use of data and analytics to analyze and improve curricula.
- Gateway courses
- Courses that are required for a student to progress to the next level of their studies.
- Undergraduate persistence
- The ability of a student to persist in their studies and complete their degree.