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dr. M. Groenier (Marleen)

Human factor researcher

About Me

I am a human factors psychologist with a passion for understanding how people learn to perform complex tasks. I have a special interest in expertise development of health care professionals working with complex medical technology. In my work, I design support for task performance, training and education. I coordinate the technical-medical educational research in the Lab for Professional Learning in High Tech Healthcare which is affiliated with the Technical Medicine, Psychology and Educational Science education programs and is located at the Expertimental Center for Technical Medicine.

My research aims to make smart use of simulation and sensor technology to support high-stakes decisions about the competency of high-tech healthcare professionals. These high-stakes decisions require a careful and credible assessment process because of the impact of these decisions on an individual level: who can be become a high-tech healthcare professional? Innovative sensor technology and statistical algorithms are used to better analyse the learning processes of these high-tech healthcare professionals and facilitate adaptive expertise development.

Expertise

Social Sciences
Clinician
Cognitive Ability
Expertise
Medical Technology
Medicine
Mathematics
Simulator
Surgery
Training

Publications

Recent
Moejes, D. S. , Halfwerk, F. R. , van Meurs, W. L. , Hagmeijer, R. , Groenier, M. , & Grandjean, J. G. (2021). Design of a simulator for training off-pump coronary bypass surgery. Abstract from 26th Annual Meeting of the Society in Europe for Simulation Applied to Medicine, SESAM 2021, Virtual.
Groenier, M. , & Miedema, H. A. T. (2020). Building bridges between technology and medicine: design and evaluation of the technical medicine curriculum. In J. van der Veen, N. van Hattum-Janssen, H-M. Järvinen, T. de Laet, & I. ten Dam (Eds.), Engaging, Engineering, Education: Book of Abstracts, SEFI 48th Annual Conference University of Twente (online), 20-24 September, 2020 (pp. 810-817). University of Twente.
Witte, T. E. F. , Schmettow, M. , & Groenier, M. (2019). Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training. In R. A. Sottilare, & J. Schwarz (Eds.), Adaptive Instructional Systems: 1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 469-481). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11597 LNCS). Springer. https://doi.org/10.1007/978-3-030-22341-0_37
Endedijk, M. , Hoogeboom, M. A. M. G. , Groenier, M., Van Sas, J. , & de Laat, S. (2018). Using sensor technology to capture the structure and content of team interactions in medical emergency teams during stressful moments. Paper presented at Lifelong Learning, Education & Assessment Research Network, LEARN 2018, Groningen , Netherlands.

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Science and Technology
Technohal (building no. 18), room 2339
Hallenweg 5
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Science and Technology
Technohal  2339
P.O. Box 217
7500 AE Enschede
The Netherlands

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