Automatic Item Generation: Theory and Practice

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Synopsis
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 known about this research area. Part I begins with an overview of the concepts and topics necessary for understanding AIG by focusing on both its history and current applications. Part II presents two theoretical frameworks and practical applications of these frameworks in the production of item generation. Part III summarizes the psychological and substantive characteristics of generated items . Part IV concludes with a discussion of the statistical models that can be used to estimate the item characteristics of generated items, features one future application of AIG, describes the current technologies used for AIG, and also highlights the unresolved issues that must be addressed as AIG continues to mature as a research area. Comprehensive – The book provides a comprehensive analysis of both the theoretical concepts that define automatic item generation and the practical considerations required to implement these concepts. Varied Applications – Readers are provided with novel applications in diverse content areas (e.g., science and reading comprehension) that range across all educational levels – elementary through university.
Copyright:
2013

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9781136636882
Related ISBNs:
9780203803912, 9780415897501, 9780415897501, 9780415897518, 9780415897518
Publisher:
Taylor and Francis
Date of Addition:
Copyrighted By:
N/A
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Education
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Mark J Gierl
Edited by:
Thomas M. Haladyna

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