Mark J. Gierl is Professor of Educational Psychology at the University of Alberta, Canada. He holds the Tier 1 Canada Research Chair in Educational Measurement.Hollis Lai is Associate Professor of Dentistry in the Faculty of Medicine and Dentistry at the University of Alberta, Canada.Vasily Tanygin is a full-stack software developer who has over a decade of experience creating automatic item generation and educational assessment technologies. He graduated with a specialist degree in software systems development from Mari State Technical University, Russia.

• PrefaceChapter 1. Introduction: The Changing Context of Educational TestingSection 1: Basic Concepts Required for Generating Constructed- and Selected-Response ItemsChapter 2. Cognitive Model Development: Cognitive Models and Item GenerationChapter 3. Item Model Development: Template-Based AIG Using Item ModellingChapter 4. Item Generation: Three General Approaches for Generating Test ItemsChapter 5. Distractor Generation: The Importance of the Selected-Response Item in Educational TestingChapter 6. Putting It All Together to Generate Test Items: OverviewChapter 7. Methods for Validating Generated Items: A Focus on Model-Level OutcomesSection 2: Advanced Topics in AIDChapter 8. Content Coding: Challenges Inherent to Managing Generated Items in a BankChapter 9. Generating Alternative Item Types Using Auxiliary Information: Expanding the Expression of Generated ItemsChapter 10. Rationale Generation: Creating Rationales as Part of the Generation ProcessChapter 11. Multilingual Item Generation: Beyond Monolingual Item DevelopmentChapter 12. Conclusions and Future Directions

Mark J. Gierl is Professor of Educational Psychology at the University of Alberta, Canada. He holds the Tier 1 Canada Research Chair in Educational Measurement.Hollis Lai is Associate Professor of Dentistry in the Faculty of Medicine and Dentistry at the University of Alberta, Canada.Vasily Tanygin is a full-stack software developer who has over a decade of experience creating automatic item generation and educational assessment technologies. He graduated with a specialist degree in software systems development from Mari State Technical University, Russia.

• PrefaceChapter 1. Introduction: The Changing Context of Educational TestingSection 1: Basic Concepts Required for Generating Constructed- and Selected-Response ItemsChapter 2. Cognitive Model Development: Cognitive Models and Item GenerationChapter 3. Item Model Development: Template-Based AIG Using Item ModellingChapter 4. Item Generation: Three General Approaches for Generating Test ItemsChapter 5. Distractor Generation: The Importance of the Selected-Response Item in Educational TestingChapter 6. Putting It All Together to Generate Test Items: OverviewChapter 7. Methods for Validating Generated Items: A Focus on Model-Level OutcomesSection 2: Advanced Topics in AIDChapter 8. Content Coding: Challenges Inherent to Managing Generated Items in a BankChapter 9. Generating Alternative Item Types Using Auxiliary Information: Expanding the Expression of Generated ItemsChapter 10. Rationale Generation: Creating Rationales as Part of the Generation ProcessChapter 11. Multilingual Item Generation: Beyond Monolingual Item DevelopmentChapter 12. Conclusions and Future Directions

Mark J. Gierl is Professor of Educational Psychology at the University of Alberta, Canada. He holds the Tier 1 Canada Research Chair in Educational Measurement.Hollis Lai is Associate Professor of Dentistry in the Faculty of Medicine and Dentistry at the University of Alberta, Canada.Vasily Tanygin is a full-stack software developer who has over a decade of experience creating automatic item generation and educational assessment technologies. He graduated with a specialist degree in software systems development from Mari State Technical University, Russia.

• PrefaceChapter 1. Introduction: The Changing Context of Educational TestingSection 1: Basic Concepts Required for Generating Constructed- and Selected-Response ItemsChapter 2. Cognitive Model Development: Cognitive Models and Item GenerationChapter 3. Item Model Development: Template-Based AIG Using Item ModellingChapter 4. Item Generation: Three General Approaches for Generating Test ItemsChapter 5. Distractor Generation: The Importance of the Selected-Response Item in Educational TestingChapter 6. Putting It All Together to Generate Test Items: OverviewChapter 7. Methods for Validating Generated Items: A Focus on Model-Level OutcomesSection 2: Advanced Topics in AIDChapter 8. Content Coding: Challenges Inherent to Managing Generated Items in a BankChapter 9. Generating Alternative Item Types Using Auxiliary Information: Expanding the Expression of Generated ItemsChapter 10. Rationale Generation: Creating Rationales as Part of the Generation ProcessChapter 11. Multilingual Item Generation: Beyond Monolingual Item DevelopmentChapter 12. Conclusions and Future Directions