Cover Image

BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sharpnack, James, Hao, Kevin, Mulcaire, Phoebe, Bicknell, Klinton, LaFlair, Geoff, Yancey, Kevin, von Davier, Alina A.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning
by: Sharpnack, James, et al.
Published: (2024)

Responsible AI for Test Equity and Quality: The Duolingo English Test as a Case Study
by: Burstein, Jill, et al.
Published: (2024)

A Corrected Welch Satterthwaite Equation. And: What You Always Wanted to Know About Kish's Effective Sample but Were Afraid to Ask
by: von Davier, Matthias
Published: (2026)

Where Assessment Validation and Responsible AI Meet
by: Burstein, Jill, et al.
Published: (2024)

Developing an Automatic Pronunciation Scorer: Aligning Speech Evaluation Models and Applied Linguistics Constructs
by: Danwei Cai, et al.
Published: (2025)

Effective Degrees of Freedom for Balanced Repeated Replication and Paired Jackknife Variance Estimates: A Unified Approach via Stratum Contrasts
by: von Davier, Matthias
Published: (2026)

Dependencies in Item-Adaptive CAT Data and Differential Item Functioning Detection: A Multilevel Framework
by: Kaptur, Dandan Chen, et al.
Published: (2024)

A Dyadic IRT Model
by: Gin, Brian, et al.
Published: (2019)

Identifiability of the Multinomial Processing Tree-IRT model for the Philadelphia Naming Test
by: Womack, Andrew J., et al.
Published: (2023)

Measurement That Matches Theory: Theory-Driven Identification in IRT Models
by: Morucci, Marco, et al.
Published: (2021)

Examinees' Rapid-Guessing Patterns in Computerized Adaptive Testing for Interim Assessment: From Hierarchical Clustering
by: Kaptur, Dandan Chen, et al.
Published: (2024)

Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
by: Xu, Austin, et al.
Published: (2024)

A Two-armed Bandit Framework for A/B Testing
by: Wang, Jinjuan, et al.
Published: (2025)

An Econometric Analysis of the Impact of Telecare on the Length of Stay in Hospital
by: Momanyi, Kevin
Published: (2025)

A General Simulation-Based Optimisation Framework for Multipoint Constant-Stress Accelerated Life Tests
by: McGrath, Owen, et al.
Published: (2025)

Robust Estimation of Item Parameters via Divergence Measures in Item Response Theory
by: Itaya, Yuki, et al.
Published: (2025)

A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data
by: Jin, Ick Hoon, et al.
Published: (2016)

Hidden Cost of Mutation Testing on Auto‐Grader
by: Rifat Sabbir Mansur, et al.
Published: (2025)

Surrogate-Based Prevalence Measurement for Large-Scale A/B Testing
by: Xu, Zehao, et al.
Published: (2026)

Estimating Racial and Ethnic Healthcare Quality Disparities Using Exploratory Item Response Theory and Latent Class Item Response Theory Models
by: Normand, Sharon-Lise, et al.
Published: (2023)

Reducing Differential Item Functioning via Process Data
by: Chen, Ling, et al.
Published: (2025)

Exploring Learning Rate Selection in Generalised Bayesian Inference using Posterior Predictive Checks
by: Zafar, Schyan, et al.
Published: (2024)

Assessing course difficulty and the effect of weather in amateur cross country running races
by: Wilson, Kevin J, et al.
Published: (2024)

Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation
by: Lum, Kristian, et al.
Published: (2024)

DIF Analysis with Unknown Groups and Anchor Items
by: Wallin, Gabriel, et al.
Published: (2023)

Bunting and the ghost runner: a causal inference approach
by: Cummiskey, Kevin, et al.
Published: (2024)

Urban Science Beyond Samples: Up-to-Date Street Network Models and Indicators for Every Urban Area in the World
by: Boeing, Geoff
Published: (2026)

Replicable Bandits for Digital Health Interventions
by: Zhang, Kelly W., et al.
Published: (2024)

DIF Statistical Inference without Knowing Anchoring Items
by: Chen, Yunxiao, et al.
Published: (2021)

De-Linearizing Agent Traces: Bayesian Inference of Latent Partial Orders for Efficient Execution
by: Li, Dongqing, et al.
Published: (2026)

$\ell_0$-Regularized Item Response Theory Model for Robust Ideal Point Estimation
by: Seo, Kwangok, et al.
Published: (2025)

Poisson Inventory Models with Many Items: An Empirical Bayes Approach
by: Anderson, Edward, et al.
Published: (2025)

A Statistically Reliable Optimization Framework for Bandit Experiments in Scientific Discovery
by: Li, Tong, et al.
Published: (2026)

Modeling Cell Developmental Trajectory using Multinomial Unbalanced Optimal Transport
by: Zhu, Junhao, et al.
Published: (2025)

LLOT: application of Laplacian Linear Optimal Transport in spatial transcriptome reconstruction
by: Zhu, Junhao, et al.
Published: (2024)

RobustCalibration: Robust Calibration of Computer Models in R
by: Gu, Mengyang
Published: (2022)

Item response parameter estimation performance using Gaussian quadrature and Laplace
by: Arrington, Leticia, et al.
Published: (2024)

Vector Optimization with Gaussian Process Bandits
by: Korkmaz, İlter Onat, et al.
Published: (2024)

Examining Differential Item Functioning (DIF) in Self-Reported Health Survey Data: Via Multilevel Modeling
by: Kaptur, Dandan Chen, et al.
Published: (2024)

On the Impact of Biological Risk in Aquaculture Valuation and Decision Making
by: Ewald, Christian-Oliver, et al.
Published: (2024)