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 the Learning, Data and Technology (LDT) department of the BMS Faculty of University of Twente.
chair advisory board TU Kampen
Expert groep toetsen po
review psychometric quality of test and exams
member advisory board Inburgeringsexamen