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

CourseGraph is a methodology designed to automate the evaluation of external courses for student mobility programs. It addresses the practical challenge of identifying significant overlaps between courses taken at other universities and a student's home curriculum. The system extracts course details such as titles, descriptions, and learning outcomes from web pages and semantically represents this information to facilitate assessment.

Why it matters

This development is strategically important for educational institutions involved in student mobility, as it offers a scalable solution for curriculum harmonization and quality assurance. Automating course overlap analysis can streamline administrative processes, enhance academic integrity, and ensure the value of degrees awarded.

Key insights

• Student mobility programs introduce the challenge of ensuring external courses do not substantially overlap with home curriculum.
• CourseGraph automates the evaluation of external courses based on processes used by curriculum administrators.
• The methodology extracts course information, including titles, descriptions, and learning outcomes, from course webpages.
• Extracted information is semantically represented for analytical purposes.

Source

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