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.

Expertise

  • Psychology

    • Assessment
    • Abilities
    • Research
    • Text Mining
  • Computer Science

    • Models
    • Testing
    • Response Theory
    • Automated Test

Organisations

Ancillary activities

  • stichting Katholiek Onderwijs EnschedeChair Supervisory Board
  • NOLAI (National Education Lab AI)Member program committee
  • RCECPsychometric advice
  • Theologische Universiteit Utrechtchair advisory board

Publications

Jump to: 2024 | 2023

2023

Risk factors for fraud victimization: The role of socio-demographics, personality, mental, general, and cognitive health, activities, and fraud knowledge (2023)International review of victimology (E-pub ahead of print/First online). Koning, L., Junger, M. & Veldkamp, B.https://doi.org/10.1177/02697580231215839The effect of self-reflection on information usage and information literacy in a digital serious game (2023)Computers & Education Open, 4. Article 100133. Steinrücke, J., Veldkamp, B. P. & Jong, T. d.https://doi.org/10.1016/j.caeo.2023.100133Early childhood selective attention, vocabulary, and other prerequisites for school success: Studying early childhood educational disadvantage (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Veer, I. M.https://doi.org/10.3990/1.9789036557627‘I Tweet about Our #GreenEnergy’—Automated Classification of Social Identity and Opinion Mining of the Dutch Twitter Discourse on Green-Energy Technologies (2023)Sustainability (Switzerland), 15(22). Article 16106. Lammers, R., Jansma, S. R., Veldkamp, B. P., Machens, A. K., de Visser, M. & Gosselt, J. F.https://doi.org/10.3390/su152216106Feedback digitalization preferences in online and hybrid classroom: Experiences from lockdown and implications for post-pandemic education (2023)Journal of Research in Innovative Teaching & Learning (E-pub ahead of print/First online). Sedrakyan, G., Borsci, S., Abdi, A., van den Berg, S. M., Veldkamp, B. P. & van Hillegersberg, J.https://doi.org/10.1108/JRIT-02-2023-0014Students Feedback Analysis Model using Deep learning-based method and Linguistic knowledge for Intelligent educational systems (2023)Soft computing, 27(19), 14073-14094. Abdi, A., Sedrakyan, G., Veldkamp, B. P., van Hillegersberg, J. & van den Berg, S. M.https://doi.org/10.1007/s00500-023-07926-2A Social Regulation Perspective on Team Reflexivity: The Development of an Analytical Framework (2023)Vocations and learning, 16, 251-291. Wijga, M., Endedijk, M. D. & Veldkamp, B. P.https://doi.org/10.1007/s12186-023-09315-0In their own words: deception detection by victims and near victims of fraud (2023)Frontiers in psychology, 14. Article 1135369. Junger, M., Koning, L., Hartel, P. & Veldkamp, B.https://doi.org/10.3389/fpsyg.2023.1135369Analysis of the Feedback Digitization Needs in Higher Education: Experiences from Lockdown Education in the Netherlands and Germany (2023)International Journal of Information and Education Technology, 13(5), 778-784. Sedrakyan, G., van den Berg, S. M., Veldkamp, B. P. & van Hillegersberg, J.https://doi.org/10.18178/ijiet.2023.13.5.1867

Research profiles

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