Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 7, 2026 · Artificial Intelligence

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.

AI model evaluationComputerized Adaptive TestingEducational Measurement
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From One Test for All to Personalized Exams: USTC’s First Survey on Computerized Adaptive Testing (TPAMI 2026)
TAL Education Technology
TAL Education Technology
Jun 24, 2020 · Fundamentals

Application of IRT Theory and Techniques in Large‑Scale International Assessments: The Case of PISA

This article explains how Item Response Theory (IRT) models and linking techniques are employed in the Programme for International Student Assessment (PISA) to ensure cross‑national and longitudinal comparability of large‑scale educational measurements, illustrating design, matrix sampling, and model specifics such as 2PL and GPCM.

2PL modelEducational MeasurementGPCM
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Application of IRT Theory and Techniques in Large‑Scale International Assessments: The Case of PISA