Bernard Veldkamp

Full professor, head of department LDT

University of Twente

Netherlands

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Bernard Veldkamp is a Full Professor and Head of the Department of Learning, Data and Technology at the University of Twente in the Netherlands. His research interests encompass a range of topics including assessment methodologies, mental health, and the application of machine learning in healthcare. Recent articles authored by Professor Veldkamp focus on areas such as multilingual bias in developmental language disorders, the implications of serious games in assessment contexts, and the use of text mining to identify PTSD in ICU survivors and their relatives.

Articles (23)

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2025

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2020

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2020

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2020

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2020

Collaborators (19)

Ourania Kounadi

Universität Wien

AUSTRIA

Bernard Veldkamp

Research Interests

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About

Articles (23)

The M-PerFeCt questionnaire: assessing higher education students’ motivation in a peer feedback context

Gender and multilingual bias in observations of children with a developmental language disorder

Speech Enabled Reading Fluency Assessment

Identifying ICU survivors and relatives with post-traumatic stress disorder using text mining

Reporting fraud victimization to the police

Centralized urgency to autonomous caution

Serious games in high-stakes assessment contexts

Explicit metrics for implicit emotions

Predicting whether patients in an acute medical unit are physiologically fit-for-discharge using machine learning

Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle

Empirical Priors in Polytomous Computerized Adaptive Tests: Risks and Rewards in Clinical Settings

Analysis of the Feedback Digitization Needs in Higher Education

Risk factors for fraud victimization

The effect of self-reflection on information usage and information literacy in a digital serious game

‘I Tweet about Our #GreenEnergy’—Automated Classification of Social Identity and Opinion Mining of the Dutch Twitter Discourse on Green-Energy Technologies

A Mixture Model for Random Responding Behavior in Forced-Choice Noncognitive Assessment: Implication and Application in Organizational Research

A Social Regulation Perspective on Team Reflexivity: The Development of an Analytical Framework

Chance-Constrained Automated Test Assembly

Perceived Mental Workload Classification Using Intermediate Fusion Multimodal Deep Learning

Using VR-based interventions, wearable technology, and text mining to improve military and Veteran mental health

Formative assessment: A systematic review of critical teacher prerequisites for classroom practice

Information Literacy Skills Assessment in Digital Crisis Management Training for the Safety Domain: Developing an Unobtrusive Method

Recognizing hotspots in Brief Eclectic Psychotherapy for PTSD by text and audio mining,通过文本和音频挖掘识别PTSD的简短折衷心理疗法中的热点,Reconociendo los puntos críticos (hotspots) en la psicoterapia ecléctica breve para tept por minería de texto y audio

Collaborators (19)

Ourania Kounadi

Jamy Li

Joao Moreira

Muirne Caitlin Shonagh Paap

Myrthe Tielman

Gayane Sedrakyan

Simone Borsci

Fons Wijnhoven

Joanne VanDerNagel

Francesco Nex

Jan-Willem van ‘t Klooster

Niek Frans

Christoph Brune

Stéphanie van den Berg

Mingshu Wang

Johan Braeken

Jelmer Wolterink

Kim Schildkamp

Ville Lehtola

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