From One Test for All to Personalized Exams: USTC’s First Survey on Computerized Adaptive Testing (TPAMI 2026)
The article reviews the first USTC survey published in TPAMI 2026, which analyzes Computerized Adaptive Testing (CAT) from a machine‑learning perspective, detailing its measurement models, selection algorithms, question‑bank construction, test‑control issues, and its emerging role in evaluating both students and AI models.
