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Book
Computerized adaptive testing in Kinanthropology : Monte Carlo simulations using the physical self-description questionnaire
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ISBN: 802463984X 9788024639840 9788024639185 Year: 2019 Publisher: [Place of publication not identified] : Karolinum Press,

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Abstract

Cílem této publikace je představení stále populárnější metody počítačového adaptivního testování (CAT) v oblasti kinantropologie. Přizpůsobením testu úrovni jednotlivých respondentů nabízí CAT řadu teoretických a metodologických výhod, které mohou výrazně ovlivnit testování teoretických konstruktů. První část monografie se věnuje historickým, teoretických a koncepčním základům CAT včetně popisu Teorie odpovědi na položku (IRT). Praktická aplikace CAT je posléze ve druhé části hodnocena pomocí Monte-Carlo simulací na příkladu Physical Self-Description Questionnaire – nástroje, který je široce používán k hodnocení tělesného sebepojetí v oblasti psychologie a psychologie sportu.


Book
Application of artificial intelligence to assessment
Authors: ---
ISBN: 9781641139526 9781641139519 9781641139533 1641139536 1641139536 1641139528 164113951X Year: 2020 Publisher: Charlotte, N.C. Information Age Publishing, Inc.

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"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" --


Book
Elements of adaptive testing
Authors: ---
ISBN: 0387854592 9786612835025 1282835025 0387854614 Year: 2010 Publisher: [New York ; London] : Springer,

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The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs. Wim J. van der Linden is Chief Research Scientist at CTB/McGraw-Hill, Monterey, CA. His specialization is psychometric theory and methods, and he has been an active researcher of adaptive testing throughout his career. For Springer, he wrote Linear Models for Optimal Test Design (2005) and co-edited Handbook of Modern Item ResponseTheory (1997). He is a past president of the Psychometric Society and recipient of lifetime achievement awards from the National Council for Measurement in Education (NCME) and the Association of Test Publishers (ATP). Cees A. W. Glas is Professor of Social Science Research Methodology, University of Twente, the Netherlands. His specialization is psychometric theory and methods, with an emphasis on item response theory, adaptive testing, model fit analysis, and missing data. Professor Glas is a co-author of Educational Evaluation, Assessment, and Monitoring (Swets & Zetlinger, 2003). Currently, he is a member of the Editorial Board of Psychometrika and serves as a technical consultant to the OECD programs for international student assessment (PISA) and the assessment of adult competencies (PIAAC).

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