Bernard P. Veldkamp(editor)
Bernard Veldkamp specializes in research methodology and data analytics. His interests focus on optimization, text mining, and computer-based assessment. His work spans a range of issues in educational, psychological, and health sciences, from the development of new methods/models for the design and construction of (adaptive) psychological and educational tests, to the development of data mining models for analyzing verbal data and large datasets in fraud detection. He founds his research in Psychometrics, Operations Research, Data Mining, and Statistics. Bernard Veldkamp is head of department Research Methodology, Measurement and Data Analysis. He is scientific director of the Research Center for Examination and Certification (RCEC), a cooperation of CITO, the national institute for measurement in the Netherlands and the University of Twente.Bernard Veldkamp specializes in research methodology and data analytics. His interests focus on optimization, text mining, and computer-based assessment. His work spans a range of issues in educational, psychological, and health sciences, from the development of new methods/models for the design and construction of (adaptive) psychological and educational tests, to the development of data mining models for analyzing verbal data and large datasets in fraud detection. He founds his research in Psychometrics, Operations Research, Data Mining, and Statistics. Bernard Veldkamp is head of department Research Methodology, Measurement and Data Analysis. He is scientific director of the Research Center for Examination and Certification (RCEC), a cooperation of CITO, the national institute for measurement in the Netherlands and the University of Twente.
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Bernard Veldkamp specializes in research methodology and data analytics. His interests focus on optimization, text mining, and computer-based assessment. His work spans a range of issues in educational, psychological, and health sciences, from the development of new methods/models for the design and construction of (adaptive) psychological and educational tests, to the development of data mining models for analyzing verbal data and large datasets in fraud detection. He founds his research in Psychometrics, Operations Research, Data Mining, and Statistics. Bernard Veldkamp is head of department Research Methodology, Measurement and Data Analysis. He is scientific director of the Research Center for Examination and Certification (RCEC), a cooperation of CITO, the national institute for measurement in the Netherlands and the University of Twente.
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Theoretical and Practical Advances in Computer-based Educational Measurement
This open access book presents a multitude of different, yet related, innovations in educational measurement and provides insight in their practical possibilities. The book not only addresses several improvements in the quality of educational measurement and innovations in (inter)national large scale assessments, but also several advances in psychometrics and improvements in computerized adaptive testing. Moreover, it also offers examples on the impact of new technology in assessment. By bringing together expertise from this variety of fields, advances in assessment are fostered and stimulated. A wide range of topics by authors from both an academic and a professional background are discussed, among which are review systems tailored for the evaluation of the quality of computer-based educational tests, the Curie-Weiss model as a paradigm for the analysis of educational data, Bayesian techniques to decide on mastery in formative educational measurement and the comparison of Elo chess ratings as strategies for on-the-fly item calibration in computerized adaptive tests. Due to its nature, the book appeals to a broad audience within the educational measurement community. As well as helping to expand theoretical knowledge, it also provides examples of practical implementation of innovations in testing technology and educational measurement
