Automatic Item Generation: Theory and Practice edited by Mark J. Gierl and Thomas M. Haladyna and Advanced Methods in Automatic Item Generation by Mark J. Gierl, Hollis Lai and Vasily Tanygin.

Cognitive Modeling by Jerome R. Busemeyer and Adele Diederich, Learning Sciences, Cognitive Models, and Automatic Item Generation by Jacqueline P. Leighton and The Role of Cognitive Models in Automatic Item Generation by Mark J. Gierl and Hollis Lai.

The Role of Item Models in Automatic Item Generation by Mark J. Gierl and Hollis Lai and Methods for Creating and Evaluating the Item Model Structure Used in Automatic Item Generation by Mark J. Gierl, Hollis Lai and Krista Breithaupt.

Using Technology-enhanced Processes to Generate Test Items in Multiple Languages by Mark J. Gierl, Hollis Lai, Karen Fung and Bin Zheng.

A Method for Generating Nonverbal Reasoning Items Using n-Layer Modeling by Mark J. Gierl, Marita M. Ball, Veronica Vele and Hollis Lai and Automatic Item Generation of Figural Analogy Problems: A Review and Outlook by Yuan Yang, Deepayan Sanyal, Joel Michelson, James Ainooson and Maithilee Kunda.

Using Automated Processes to Generate Test Items and Their Associated Solutions and Rationales to Support Formative Feedback by Mark J. Gierl and Hollis Lai and Using Automatic Item Generation to Create Solutions and Rationales for Computerized Formative Testing by Mark J. Gierl and Hollis Lai.

Methods for Creating and Evaluating the Item Model Structure Used in Automatic Item Generation by Mark J. Gierl, Hollis Lai and Krista Breithaupt, A Process for Reviewing and Evaluating Generated Test Items by Mark J. Gierl and Hollis Lai and A Suggestive Approach for Assessing Item Quality, Usability and Validity of Automatic Item Generation by Filipe Falcão, Daniela M. Pereira, Nuno Gonçalves, Andre De Champlain, Patrício Costa and José Miguel Pêgo.

A Feasibility Study of On‐the‐fly Item Generation in Adaptive Testing by Isaac I. Bejar, René R. Lawless, Mary E. Morley, Michael E. Wagner, Randy E. Bennett and Javier Revuelta and Using Automatic Item Generation to Address Item Demands for CAT by Hollis Lai, Cecilia Alves and Mark J. Gierl.

Generating Better Items for Cognitive Assessments Using Large Language Models by Antonio Laverghetta and John Licato, Generating Multiple Choice Questions from a Textbook: LLMs Match Human Performance on Most Metrics by Andrew M. Olney and Can ChatGPT and Bard Generate Aligned Assessment Items? A Reliability Analysis Against Human Performance by Abdolvahab Khademi.