Blogs (3) >>

This program is tentative and subject to change.

Thu 27 Feb 2025 14:22 - 14:41 at Meeting Rooms 317-318 - Curriculum Issues

Computer science degree requirements often have a rigid pre- and corequisite structure, which can impede a student’s progression through a degree and in particular can add one or more semesters to degree time to completion, particularly for those students who need to retake a course that serves as a prerequisite to many other courses and for students who are not calculus-ready when they enter university. In this paper, we present the results of a comparative analysis of curricula before and after a major structural revision. The first curriculum adheres to the conventional rigid prerequisite structure, while the second emphasizes student choice and multiple pathways through the degree. No changes were made to the course content/outcomes between the two versions. Employing curricular metrics such as complexity and centrality, we examine the degree progress of 3010 students over a six-year period. Specifically, our investigation looks at the impact of reducing curricular complexity on student attrition from and attraction to the CS major. The new curriculum, with a 60% reduction in curricular structural complexity, showed both increased retention of students over the old curriculum (67% to 98%) and an increase in the number of students converting from undeclared to computer science (44% to 69%). Our findings demonstrate that reducing curricular complexity need not compromise program rigor and can benefit students by providing greater flexibility and ensuring earlier exposure to (and therefore retention in) CS.

This program is tentative and subject to change.

Thu 27 Feb

Displayed time zone: Eastern Time (US & Canada) change

13:45 - 15:00
Curriculum IssuesPapers at Meeting Rooms 317-318
13:45
18m
Talk
AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce
Papers
Jaromir Savelka Carnegie Mellon University, Can Kultur Carnegie Mellon University, Arav Agarwal Carnegie Mellon University, Christopher Bogart Carnegie Mellon University, Heather Burte Carnegie Mellon University, Adam Zhang Carnegie Mellon University, Majd Sakr Carnegie Mellon University
14:03
18m
Talk
Analysis of Generative AI Policies in Computing Course Syllabi
Papers
Areej Ali George Mason University, Aayushi Hingle George Mason University, Umama Dewan George Mason University, Nora McDonald George Mason University, Aditya Johri George Mason University, USA
14:22
18m
Talk
Does Reducing Curricular Complexity Impact Student Success in Computer Science?
Papers
Sumukhi Ganesan Khoury College of Computer Sciences, Albert Lionelle Khoury College of Computer Sciences, Northeastern University, Catherine Gill Northeastern University, Carla Brodley Northeastern University, Center for Inclusive Computing
14:41
18m
Talk
Moving What's in the CS Curriculum Forward: A Proposition to Address Ten Wicked Curricular Issues
Papers
Rick Blumenthal Regis University, Johanna Blumenthal Regis University