prof.dr.ir. B.P. Veldkamp (Bernard)


Over mij

Bernard Veldkamp specializes in research methodology, measurement 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. He founds his research in Psychometrics, Operations Research, Data Mining, and Statistics.

Bernard Veldkamp is Vice-Dean of Research of the Faculty of Behavioral, Management and Social Sciences, University of Twente.


Medicine & Life Sciences
Data Mining
Post-Traumatic Stress Disorders
Adaptive Testing
Item Response Theory
Social Sciences
Model Theory
Performance Assessment


  • TU Kampen
    chair advisory board TU Kampen
  • Bureau ICE
    member advisory board Inburgeringsexamen
  • RCEC
    psychometric advice
  • stichting Katholiek Onderwijs Enschede
    Chair Supervisory Board


Veldkamp, B. P. (2023). Trustworthy Artificial Intelligence in Psychometrics. In Essays on Contemporary Psychometrics (pp. 69-87). (Methodology of Educational Measurement and Assessment). Springer Nature. https://doi.org/10.1007/978-3-031-10370-4_4
Proietti, G. S., Matteucci, M., Mignani, S. , & Veldkamp, B. P. (2023). Chance-Constrained Automated Test Assembly. Journal of educational and behavioral statistics. https://doi.org/10.3102/10769986231169039
Pereira, P. D. , Heitink, M. C. , Schildkamp, K. , Veldkamp, B. P., & Feskens, R. (2022). A meta-analysis of the effect of peer feedback on academic achievement in the stem fields of higher education. In H-M. Jarvinen, S. Silvestre, A. Llorens, & B. V. Nagy (Eds.), SEFI 2022 - 50th Annual Conference of the European Society for Engineering Education, Proceedings (pp. 2139-2145). Societe Europeenne pour la Formation des Ingenieurs (SEFI). https://www.upc.edu/ice/ca/ebook-sefi-2022-1.pdf/
Lal, S. , Eysink, T. H. S. , Gijlers, H. A. , Verwey, W. B. , & Veldkamp, B. P. (2022). Reading Minds: Exploring Relationships between Sensor-Data and Self-Reported Cognitive-Affective States of Learners. In C. Chinn, E. Tan, C. Chan, & Y. Kali (Eds.), International Collaboration toward Educational Innovation for All: Overarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022 (pp. 2048-2049). (Proceedings of International Conference of the Learning Sciences, ICLS). International Society of the Learning Sciences (ISLS).
Wiegersma, S. (2022). Reusing clinical data to improve health care: Challenge accepted! [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036554718
Bron, R. (2022). Collaborative course design in higher education: A team learning perspective. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036554657

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Vakken Collegejaar  2022/2023



Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Cubicus (gebouwnr. 41), kamer B315
De Zul 10
7522NJ  Enschede

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Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Cubicus  B315
Postbus 217
7500 AE Enschede

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