Advanced Methods in Automatic Item Generation is an up-to-date survey of the growing research on automatic item generation (AIG) in today's technology-enhanced educational measurement sector.
Advanced Methods in Automatic Item Generation is an up-to-date survey of the growing research on automatic item generation (AIG) in today's technology-enhanced educational measurement sector.
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.
Inhaltsangabe
Preface Chapter 1. Introduction: The Changing Context of Educational Testing Section 1: Basic Concepts Required for Generating Constructed- and Selected-Response Items Chapter 2. Cognitive Model Development: Cognitive Models and Item Generation Chapter 3. Item Model Development: Template-Based AIG Using Item Modelling Chapter 4. Item Generation: Three General Approaches for Generating Test Items Chapter 5. Distractor Generation: The Importance of the Selected-Response Item in Educational Testing Chapter 6. Putting It All Together to Generate Test Items: Overview Chapter 7. Methods for Validating Generated Items: A Focus on Model-Level Outcomes Section 2: Advanced Topics in AID Chapter 8. Content Coding: Challenges Inherent to Managing Generated Items in a Bank Chapter 9. Generating Alternative Item Types Using Auxiliary Information: Expanding the Expression of Generated Items Chapter 10. Rationale Generation: Creating Rationales as Part of the Generation Process Chapter 11. Multilingual Item Generation: Beyond Monolingual Item Development Chapter 12. Conclusions and Future Directions
Preface Chapter 1. Introduction: The Changing Context of Educational Testing Section 1: Basic Concepts Required for Generating Constructed- and Selected-Response Items Chapter 2. Cognitive Model Development: Cognitive Models and Item Generation Chapter 3. Item Model Development: Template-Based AIG Using Item Modelling Chapter 4. Item Generation: Three General Approaches for Generating Test Items Chapter 5. Distractor Generation: The Importance of the Selected-Response Item in Educational Testing Chapter 6. Putting It All Together to Generate Test Items: Overview Chapter 7. Methods for Validating Generated Items: A Focus on Model-Level Outcomes Section 2: Advanced Topics in AID Chapter 8. Content Coding: Challenges Inherent to Managing Generated Items in a Bank Chapter 9. Generating Alternative Item Types Using Auxiliary Information: Expanding the Expression of Generated Items Chapter 10. Rationale Generation: Creating Rationales as Part of the Generation Process Chapter 11. Multilingual Item Generation: Beyond Monolingual Item Development Chapter 12. Conclusions and Future Directions
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