The purpose of this book is to bring researchers and practitioners up-to-date on the growing body of research on Automatic Item Generation by organizing in one volume what is currently known about this research area.
The purpose of this book is to bring researchers and practitioners up-to-date on the growing body of research on Automatic Item Generation by organizing in one volume what is currently known about this research area.
Mark J. Gierl is Professor of Educational Psychology and Director of the Centre for Research in Applied Measurement and Evaluation in the Department of Educational Psychology, Faculty of Education, at the University of Alberta. He holds the Canada Research Chair in Educational Measurement. Thomas M. Haladyna is Professor Emeritus, Arizona State University. He is the author of numerous books in the field of educational assessment and test item development, including the much praised Handbook of Test Development.
Inhaltsangabe
Part I. Initial Considerations for Automatic Item Generation 1. Automatic Item Generation: An Introduction Mark J. Gierl and Thomas M. Haladyna 2. Automatic Item Generation: A Historical Perspective Thomas M. Haladyna 3. Using Weak and Strong Theory to Create Item Models for Automatic Item Generation: Some Practical Guidelines with Examples Mark J. Gierl and Hollis Lai 4. Item generation: Implications for a validity argument Isaac I. Bejar Part II. Connecting Theory and Practice in Automatic Item Generation 5. An Introduction to Assessment Engineering for Automatic Item Generation Richard M. Luecht 6. Generating Items under the Assessment Engineering Framework Hollis Lai and Mark J. Gierl 7. Using Evidence-Centered Design Task Models In Automatic Item Generation Kristen Huff, Cecilia B. Alves, James Pellegrino and Pamela Kaliski Part III. Psychological Foundations for Automatic Item Generation 8. Learning Sciences, Cognitive Models, and Automatic Item Generation Jacqueline P. Leighton 9. Using Cognitive Psychology to Generate Items and Predict Item Characteristics Joanna S. Gorin 10. Difficulty Modeling and Automatic Generation of Quantitative Items: Recent Advances and Possible Next Steps Edith Aurora Graf and James H. Fife Part IV. Technical Developments in Automatic Item Generation 11. Statistical Modeling of Automatically Generated Items Sandip Sinharay and Matthew S. Johnson 12. Automatic Item Generation for Computerized Adaptive Testing Richard M. Luecht 13.IGOR: a Web-Based Automatic Item Generation Tool Todd Mortimer, Eleni Stroulia, and Meisam Vosoughpour Yazdchi 14. Obstacles for Automatic Item Generation Thomas M. Haladyna and Mark J. Gierl
Part I. Initial Considerations for Automatic Item Generation 1. Automatic Item Generation: An Introduction Mark J. Gierl and Thomas M. Haladyna 2. Automatic Item Generation: A Historical Perspective Thomas M. Haladyna 3. Using Weak and Strong Theory to Create Item Models for Automatic Item Generation: Some Practical Guidelines with Examples Mark J. Gierl and Hollis Lai 4. Item generation: Implications for a validity argument Isaac I. Bejar Part II. Connecting Theory and Practice in Automatic Item Generation 5. An Introduction to Assessment Engineering for Automatic Item Generation Richard M. Luecht 6. Generating Items under the Assessment Engineering Framework Hollis Lai and Mark J. Gierl 7. Using Evidence-Centered Design Task Models In Automatic Item Generation Kristen Huff, Cecilia B. Alves, James Pellegrino and Pamela Kaliski Part III. Psychological Foundations for Automatic Item Generation 8. Learning Sciences, Cognitive Models, and Automatic Item Generation Jacqueline P. Leighton 9. Using Cognitive Psychology to Generate Items and Predict Item Characteristics Joanna S. Gorin 10. Difficulty Modeling and Automatic Generation of Quantitative Items: Recent Advances and Possible Next Steps Edith Aurora Graf and James H. Fife Part IV. Technical Developments in Automatic Item Generation 11. Statistical Modeling of Automatically Generated Items Sandip Sinharay and Matthew S. Johnson 12. Automatic Item Generation for Computerized Adaptive Testing Richard M. Luecht 13.IGOR: a Web-Based Automatic Item Generation Tool Todd Mortimer, Eleni Stroulia, and Meisam Vosoughpour Yazdchi 14. Obstacles for Automatic Item Generation Thomas M. Haladyna and Mark J. Gierl
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