ENGLISH

Application of Artificial Intelligence to Assessment

By Hong Jiao; Robert W. Lissitz

Book information

Publisher
IAP
Year
2020
ISBN
1641139536, 9781641139533
Language
english
Format
PDF
Filesize
5 MB (5258175 bytes)
Pages
223\218
Time added
2021-02-05 09:28:22

Description

The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers’ engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices. Cover Series page Application of Artificial Intelligence to Assessment Library of Congress Cataloging-in-Publication Data Contents CHAPTER 1: Augmented Intelligence and the Future of Item Development CHAPTER 2: Reconceptualizing Items CHAPTER 3: Artificial Intelligence for Scoring Oral Reading Fluency CHAPTER 4: Natural Language Processing and the Literacy Challenge CHAPTER 5: Practical Considerations for Using AI models in Automated Scoring of Writing CHAPTER 6: Item Pool Design and Assembly CHAPTER 7: Automated Test Assembly CHAPTER 8: Multistage Testing in Practice CHAPTER 9: An Intelligent CAT That Can Deal With Disengaged Test Taking CHAPTER 10: Differences in the Amount of Adaptation Exhibited by Various Computerized Adaptive Testing Designs CHAPTER 11: Automatic Item Generation With Machine Learning Techniques About the Editors

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