Shared first authorships are indicated with a ^.

Submitted

van der Velde, M., Sense, F., Borst, J. P., & van Rijn, H. (submitted).
Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates.
PsyArXiv preprint | OSF

Sense^, F., van der Velde^, M., & van Rijn, H. (under review).
Predicting University Students’ Exam Performance using a Model-based Adaptive Fact-Learning System.
OSF

Zhou, P., Sense, F., van Rijn, H., & Stocco, A. (submitted).
Reflections of Idiographic Long-Term Memory Characteristics In Resting-State Neuroimaging Data.
bioRxiv preprint | Github repository


Published

Moghimi, D., Van Yperen, N. W., Sense, F., Zacher, H., & Scheibe, S. (2020).
Using the selection, optimization, and compensation model of action-regulation to explain college students’ grades and study satisfaction.
Journal of Educational Psychology. Advance online publication.
pdf | 10.1037/edu0000466

Maass^, S.C., Sense^, F., Gluck, K., & Van Rijn, H. (2019).
Keeping Bystanders Active: Resuscitating Resuscitation Skills.
Frontiers in Public Health: Disaster and Emergency Medicine, 7:177.
pdf | OSF | 10.3389/fpubh.2019.00177

Sense^, F., Maass^, S.C., Gluck, K.A., & Van Rijn, H. (2019).
Within-Subject Performance on a Real-Life, Complex Task and Traditional Lab Experiments: Measures of Word Learning, Raven Matrices, Tapping, and CPR.
Journal of Cognition, 2(1): 12, pp. 1–10.
pdf | OSF | 10.5334/joc.65

Sense, F., Meijer, R.R., & Van Rijn, H. (2018).
Exploration of the Rate of Forgetting as a Domain-Specific Individual Differences Measure.
Frontiers in Education: Educational Psychology, 3:112.
pdf | OSF | 10.3389/feduc.2018.00112

Sense, F., & Van Rijn, H. (2018).
Probabilistic Motor Sequence Learning in a Virtual Reality Serial Reaction Time Task.
PLoS ONE 13(6): e0198759.
pdf | OSF | 10.1371/journal.pone.0198759

Sense, F., Morey, C.C., Prince, M., Heathcote, A., & Morey, R.D. (2017).
Opportunity for verbalization does not improve visual change detection performance: A state-trace analysis.
Behavior Research Methods, 49(3), 853–862.
pdf | Github repository | 10.3758/s13428-016-0741-1

Sense, F., Behrens, F., Meijer, R.R., & van Rijn, H. (2016).
An Individual’s Rate of Forgetting Is Stable Over Time but Differs Across Materials.
Topics in Cognitive Science, 8: 305–321.
pdf | OSF | 10.1111/tops.12183.

He, J.A., Sense, F., & Antshel, K.M. (2015).
Developing a University-Wide Primary Prevention Intervention for Prescription Stimulant Misuse and Diversion in College Students.
The ADHD Report: Vol. 23, No. 1, pp. 1-9.
pdf | 10.1521/adhd.2015.23.1.1


Peer-reviewed conference contributions

Sense, F., Collins, M., Krusmark, M., & Jastrzembski, T. (2020). Using K-means Clustering for Out-of-Sample Predictions of Memory Retention. Proceedings of the 42nd Annual Conference of the Cognitive Science Society. Virtual conference. pdf

Sense, F., Jastrzembski, T., Mozer, M.C., Krusmark, M., & van Rijn, H. (2019). Perspectives on Computational Models of Learning and Forgetting. Proceedings of the 17th International Conference on Cognitive Modeling. Montreal, Canada. proceedings

Gluck, K.A., Collins, M., Krusmark, M., Sense, F., Maass, S.C., & van Rijn, H. (2019). Predicting Performance in Cardiopulmonary Resuscitation. Proceedings of the 17th International Conference on Cognitive Modeling. Montreal, Canada. proceedings

van der Velde, M., Sense, F., Borst, J., & van Rijn, H. (2019). Kickstarting Adaptive Fact Learning Using Hierarchical Bayesian Modelling. Proceedings of the 17th International Conference on Cognitive Modeling. Montreal, Canada. proceedings

Sense, F., Jastrzembski, T., Krusmark, M., Martinez, S., & van Rijn, H. (2019). An Integrated Trial-Level Performance Measure: Combining Accuracy and RT to Express Performance During Learning. Proceedings of the 41st Annual Conference of the Cognitive Science Society. Montreal, Canada. proceedings (large PDF!)

Sense, F., van der Velde, M., & van Rijn, H. (2018). Deploying a Model-based Adaptive Fact-Learning System in University Courses (abstract). In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling (pp. 137-8). Madison, WI: University of Wisconsin. proceedings

Maass, S.C., Sense, F., & Van Rijn, H. (2017). Cognitive Modeling of Cardiopulmonary Resuscitation Knowledge and Skill Spanning Months to Years (abstract). In M. K. van Vugt, A. P. Banks, & W.G. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling (pp. 228–229). Coventry, UK: University of Warwick. proceedings

Sense, F., Meijer, R. R., Van Rijn, H. (2016). On the Link between Fact Learning and General Cognitive Ability. In Proceedings of the 38th Annual Conference of the Cognitive Science Society. Philadelphia, PA: Cognitive Science Society. proceedings (large PDF!)

Sense, F., Maass, S.C., & Van Rijn, H. (2016). Interactions of declarative and procedural memory in real-life tasks: validating CPR as a new paradigm (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 252–253). University Park, PA: Penn State. proceedings

Sense, F., Behrens, F., Meijer, R.R., & Van Rijn, H. (2015). Stability of individual parameters in a model of optimal fact learning. In Proceedings of the 13th International Conference on Cognitive Modeling (pp. 136–141). proceedings
Winner of the Allen Newell Award for best student paper submitted to ICCM 2015.


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