This open access book presents a large number of innovations in the world of operational testing. It brings together different but related areas and provides insight in their possibilities, their advantages and drawbacks.
The book not only addresses improvements in the quality of educational measurement, innovations in (inter)national large scale assessments, but also several advances in psychometrics and improvements in computerized adaptive testing, and it also offers examples on the impact of new technology in assessment.
Due to its nature, the book will appeal to a broad audience within the educational measurement community. It contributes to both theoretical knowledge and also pays attention to practical implementation of innovations in testing technology.
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 comparisonof 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
Produktdetaljer
Biographical note
Cor Sluijter is director of the department of psychometrics and research of Cito. He has over 30 years of experience in developing paper- and computer-based tests and other assessment instruments for both the private and public sector. Cor was responsible for the transition of Cito’s Student Monitoring System for primary education from paper based to computer based. He was also responsible for the development of compulsory computerized (adaptive) entrance tests for the Teacher Colleges for Primary Education in the Netherlands and for the introduction of computerized exams for Dutch and arithmetic’s in Middle Vocational Education. Cor is a former Chair of the Dutch Exams Association (NVE) and member of the Dutch Advisory Board on Competencies in Financial Services. He is also co-editor of the Journal of Applied Testing Technology of the association of Test Publishers. Since 2014 Cor is a Fellow of the Association for Educational Assessment Europe. He holds a PhD in Social andBehavioural Sciences from the University of Amsterdam.
Bernard Veldkamp is full professor and head of the Department of Research Methodology, Measurement, and Data Analysis. He is chair of the Technology, Data-analytics and Decision-support Systems (DDS) Cluster of the faculty of Behavioral Management and Social Sciences at University of Twente. He is specialized in research methodology and data analytics and more specifically in the development of new methods/models for the design and construction of (adaptive) psychological and educational tests and learning environments. He works on the development of datamining models for analysing verbal data and large datasets. Bernard was founder and scientific director of the Research Centre for Examination and Certification (RCEC), a cooperation between CITO and University of Twente. He spent a year at Law School Admission Council in Newtown, Pennsylvania, where he worked on robustness of test assembly methods and on the combination of datamining and IRT models to increase measurement precision.