Quiz: Admissions Models and Why Selection Decisions Are High Risk

Traditional university admissions processes typically involve reviewing academic grades, personal statements, and interview performance.

Modern admissions models use data analytics to predict which prospective students are likely to succeed academically.

Poor selection decisions can lead to high student dropout rates and damage to institutional reputation.

Effective risk management in admissions requires clear documentation of selection criteria and decision-making processes.

Algorithms used in admissions may unintentionally favour candidates from certain educational backgrounds.