CourseGraph: Finding overlaps and differences in Computer Science courses across universities

The research introduces CourseGraph, a methodology designed to automate the assessment of external academic courses for curriculum integration. This system addresses the operational challenge of preventing significant course overlap in student mobility programs, such as Erasmus+, by leveraging course titles, descriptions, and learning outcomes extracted from university webpages. The primary goal is to streamline the administrative process for evaluating course compatibility and content uniqueness.

Why it matters

This development is strategically important for institutions engaged in international academic partnerships and student exchange programs. It offers a standardized and automated approach to curriculum management, ensuring academic integrity and optimizing resource allocation by preventing redundant course offerings.

Key insights

• CourseGraph is a methodology for automating the evaluation of external courses.
• It aims to identify overlaps and differences in Computer Science courses across universities.
• The system extracts information such as course titles, descriptions, and learning outcomes from course webpages.
• The methodology is based on insights from curriculum administrators' assessment processes.
• It addresses the practical challenge of avoiding substantial course overlap in student mobility programs.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.05910