1st Edition

Automatic Item Generation Theory and Practice

Edited By Mark J Gierl, Thomas M. Haladyna Copyright 2013
256 Pages
by Routledge

256 Pages
by Routledge

256 Pages
by Routledge

Automatic item generation (AIG) represents a relatively new and unique research area where specific cognitive and psychometric theories are applied to test construction practices for the purpose of producing test items using technology. The purpose of this book is to bring researchers and practitioners up-to-date on the growing body of research on AIG by organizing in one volume what is currently... Read more

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

Biography

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.