Mark J. Gierl, Hollis Lai, Vasily Tanygin

Advanced Methods in Automatic Item Generation (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 246
• Erscheinungstermin: 18. Mai 2021
• Englisch
• ISBN-13: 9781000378009
• Artikelnr.: 61373075

Autorenporträt

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