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内容説明 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. AIG is cost effective. Its purpose is to create item models where each model yields hundreds or thousands of unique test items. Hence test banks can be created quickly， thereby permitting continuous testing while simultaneously minimizing the risks associated with item exposure because larger banks of operational items are available for each test administration. 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 three theoretical frameworks and practical applications of these frameworks in the production of item generation. Part III summarizes the substantive characteristics of generated items and statistical models that can be used to estimate the item characteristics of generated items. Part IV concludes with a discussion of one future application of AIG and also highlights the unresolved issues that must be addressed as AIG continues to mature as a research area. Key Features 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 thru university. Expertise - Chapter authors include the best known researchers and practitioners in the field of automated item generation.