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This edited volume provides a platform for experts from various fields to introduce and discuss their different perspectives on the topic of teamwork and collaborative problem solving. It brings together researchers in organizational teaming, educational collaboration, tutoring, simulation, and gaming as well as those involved in statistical and psychometric process modelling. This book seeks to channel this expertise towards advances in the measurement and assessment of cognitive and non-cognitive skills of individuals and teams. “ The ability to understand the states, traits, and habits of individual learners, collaborative groups, or team is a necessary prerequisite to guiding, adapting, and optimizing instructional experiences. The modeling and assessment of learners interacting with peers, human instructors, or computer-based tutors provides a window into the effectiveness of instructional tools and methods that is needed to continuously improve their learning experiences. Any action taken by the tutor/teacher/instructor without knowledge of those being taught is a shot in the dark. We applaud those who dedicate their lives to helping us solve the hard problems that will turn on the light and allow us to easily tailor learning experiences for every person.” (Robert Sottilare, Ph.D., US Army Research Laboratory, Adaptive Training Scientist).

Education. --- Image processing. --- Computational linguistics. --- Assessment. --- Statistics. --- Psychometrics. --- Assessment, Testing and Evaluation. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Industrial and Organizational Psychology. --- Image Processing and Computer Vision. --- Computational Linguistics. --- Interdisciplinary approach to knowledge. --- Knowledge, Theory of --- Methodology --- Science and the humanities --- Educational tests and measuremen. --- Applied psychology. --- Computer vision. --- Statistics for Social Sciences, Humanities, Law. --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Applied psychology --- Psychagogy --- Psychology, Practical --- Social psychotechnics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Measurement --- Scaling --- Data processing --- Statistics . --- Industrial psychology. --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Business psychology --- Industrial psychology --- Psychotechnics --- Industrial engineering --- Personnel management --- Psychology, Applied --- Industrial psychologists --- Optical equipment

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The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples.  Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the team) and that include some of the newest research algorithms on the topic. The book covers many topics along with the R-code: the basics of R, theoretical overview of CAT and MST, CAT designs, CAT assembly methodologies, CAT simulations, catR package, CAT applications, MST designs, IRT-based MST methodologies, tree-based MST methodologies, mstR package, and MST applications.  CAT has been used in many large-scale assessments over recent decades, and MST has become very popular in recent years.  R open source language also has become one of the most useful tools for applications in almost all fields, including business and education.  Though very useful and popular, R is a difficult language to learn, with a steep learning curve.  Given the obvious need for but with the complex implementation of CAT and MST, it is very difficult for users to simulate or implement CAT and MST.  Until this manual, there has been no book for users to design and use CAT and MST easily and without expense; i.e., by using the free R software.  All examples and illustrations are generated using predefined scripts in R language, available for free download from the book's website. Provides exhaustive descriptions of CAT and MST processes in an R environment  Guides users to simulate and implement CAT and MST using R for their applications   Summarizes the latest developments and challenges of packages catR and mstR  Provides R packages catR and mstR and illustrates to users how to do CAT and MST simulations and implementations using R David Magis, PhD, is Research Associate of the “Fonds de la Recherche Scientifique – FNRS”  at the Department of Education, University of Liège, Belgium. His specialization is statistical methods in psychometrics, with special interest in item response theory, differential item functioning and computerized adaptive testing. His research interests include both theoretical and methodological development as well as open source implementation and dissemination in R. He is the main developer and maintainer of the packages catR and mstR, among others. Duanli Yan, PhD, is Manager of Data Analysis and Computational Research for Automated Scoring group in the Research and Development division at the Educational Testing Service (ETS).  She is also an Adjunct Professor at Rutgers University.  Dr. Yan has been the statistical coordinator for the EXADEP™ test, and the TOEIC® Institutional programs, a Development Scientist for innovative research applications, and a Psychometrician for several operational programs.  Dr. Yan received many awards, including the 2011 ETS Presidential Award, the 2013 NCME Brenda Lyod award, and the 2015 IACAT Early Career Award.  She is a co-editor for Computerized Multistage Testing: Theory and Applications and a co-author for Bayesian Networks in Educational Assessment.   Alina A. von Davier, PhD, is Senior Research Director of the Computational Psychometrics Research Center at Educational Testing Service (ETS) and an Adjunct Professor at Fordham University.  At ETS she leads the Computational Psychometrics Research Center, where she is responsible for developing a team of experts and a psychometric research agenda in support of next generation assessments.  Computational psychometrics, which include machine learning and data mining techniques, Bayesian inference methods, stochastic processes and psychometric models are the main set of tools employed in her current work.  She also works with psychometric models applied to educational testing: test score equating methods, item response theory models, and adaptive testing. .

Psychology --- Sociology --- Statistical science --- Law --- Educational psychology --- Didactic evaluation --- Teaching --- Mathematical statistics --- Computer. Automation --- pedagogische psychologie --- psychologie --- machine learning --- Bayesian statistics --- evaluatie (onderwijs) --- informatica --- onderwijs --- wetgeving --- statistiek --- statistisch onderzoek

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Psicometria --- Avaluació educativa --- Mineria de dades --- Prospecció de dades --- Cerca en bases de dades --- Arquitectura orientada a serveis (Informàtica) --- Extracció de dades de llocs web --- Mineria de web --- Avaluació --- Educació --- Avaluació contínua --- Avaluació curricular --- Avaluació dels professors --- Avaluació formativa --- Avaluació de sistemes educatius --- Qualitat de l'ensenyament --- Escales psicològiques --- Mesuraments mentals --- Mesuraments psicològics --- Escales (Ciències socials) --- Psicofisiologia --- Anàlisi factorial --- Escala multidimensional --- Metaanàlisi --- Tests i proves en educació --- Psicofísica --- Tests psicològics --- Educational tests and measurements. --- Educational assessment --- Educational measurements --- Mental tests --- Tests and measurements in education --- Psychological tests for children --- Psychometrics --- Students --- Examinations --- Psychological tests --- Rating of