Enhancing Academic Advisement with Case-Based Reasoning

Impact 3 arXiv cs.AI

Summary

  • This research paper explores the application of Case-Based Reasoning (CBR) to improve academic advising in higher education.
  • The author details the design, development, and validation of a prototype case-based academic advisement recommender system.
  • The system aims to supplement conventional advising processes and potentially evolve to replace human advisors in the future.
  • The publication is a 2026 digital edition of a Master of Engineering thesis originally completed in August 2003 at RMIT University.

Why it matters

Case-based reasoning systems can automate and optimize complex advisory workflows in education, offering insights into domain-specific expert recommender system design.

Who should care