Rethinking Calculus for Computer Science: A mapping Analysis of Topic Relevance

• In Event: AERA Poster Session Friday 9:45am
  In Poster Session: Student Learning in Mathematics Education

Abstract

Calculus I and II are standard prerequisites for computer science (CS) majors, yet faculty frequently report that students struggle applying calculus knowledge within CS coursework. This study investigates the alignment between core Calculus topics and four foundational CS courses: Machine Learning, Algorithms, Artificial Intelligence, and Computer Graphics. Using textbook analyses and expert coding, we mapped 65 core calculus topics to 97 CS concepts. The findings reveal that only a narrow subset of calculus topics are directly applicable across CS courses, raising questions about the relevance and efficiency of current math requirements. The study offers evidence to inform Calculus curriculum redesign and strengthen the connection between mathematics instruction and the conceptual demands of CS education.

Authors

• Lei Liu, Educational Testing Service

• Field Watts, Educational Testing Service

• Erin Barno, ETS

• Titus Teodorescu, Educational Testing Service

• Ou Lydia Liu, Educational Testing Service