Shared first authorships are indicated with a ^.
van der Velde, M., Sense, F., Borst, J. P., &
van Rijn, H.
Large-scale evaluation of cold start mitigation in adaptive fact
learning: Knowing” what” matters more than knowing” who”.
PsyArXiv preprint
van der Velde, M., Sense, F., Borst, J. P., &
van Rijn, H.
Explaining Forgetting at Different Timescales Requires a Time-variant
Forgetting Function.
PsyArXiv preprint
Wilschut, T., Sense, F., & van Rijn, H.
Personalized Vocabulary Learning using Automatic Speech
Recognition.
PsyArXiv preprint
Sense^, F., & van Rijn^, H.
Optimizing Fact-Learning with a Response-Latency-Based Adaptive
System.
PsyArXiv preprint
Xu, Y., Prat, C., Sense, F., van Rijn, H., &
Stocco, A.
Distributed Patterns of Functional Connectivity Underlie Individual
Differences in Long-Term Memory Forgetting
bioRxiv
preprint
Wilschut, T., Sense, F., & van Rijn, H.
(2024).
Speaking to remember: Model-based Adaptive Vocabulary Learning Using
Automatic Speech Recognition.
Computer Speech & Language, 84, 101578.
10.1016/j.csl.2023.101578
(open access)
Wilschut, T., van der Velde, M., Sense, F., &
van Rijn, H. (2023).
Prior Knowledge Norms for Naming Country Outlines: An Open Stimulus
Set.
Journal of Cognition, 6(1).
10.5334/joc.260
(open access)
Sasin, E., Sense, F., Nieuwenstein, M., &
Fougnie, D. (2022).
Training Modulates Memory-driven Capture.
Attention, Perception, & Psychophysics, 84, pages
1509–1518.
10.3758/s13414-022-02508-0
(open access)
van der Velde, M., Sense, F., Borst, J. P., van
Maanen, L., & van Rijn, H. (2022).
Capturing Dynamic Performance in a Cognitive Model: Estimating ACT-R
Memory Parameters With the Linear Ballistic Accumulator.
Topics in Cognitive Science.
10.1111/tops.12614 (open
access)
Wilschut, T., Sense, F., van der Velde, M., Fountas,
Z., Maaß, S. C., & van Rijn, H. (2021).
Benefits of Adaptive Learning Transfer From Typing-Based Learning to
Speech-Based Learning.
Frontiers in Artificial Intelligence. 4.
10.3389/frai.2021.780131
(open access) | PsyArXiv preprint |
OSF
Sense, F., Wood, R., Collins, M.G., Fiechter, J.,
Wood, A., Krusmark, M.A., Jastrzembski, T., & Myers, C.W.
(2021).
Cognition-Enhanced Machine Learning for Better Predictions with Limited
Data.
Topics in Cognitive Science.
10.1111/tops.12574 (open
access)
van der Velde, M., Sense, F., Spijkers, R., Meeter,
M. & van Rijn, H. (2021).
Lockdown Learning: Changes in Online Foreign-Language Study Activity and
Performance of Dutch Secondary School Students During the COVID-19
Pandemic.
Frontiers in Education. 6:712987.
10.3389/feduc.2021.712987
(open access) | PsyArXiv preprint
Sense^, F., van der Velde^, M., & van Rijn, H.
(2021).
Predicting University Students’ Exam Performance Using a Model-based
Adaptive Fact-Learning System.
Journal of Learning Analytics, early access, 1-15.
OSF
| 10.18608/jla.2021.6590
(open access)
Zhou, P., Sense, F., van Rijn, H., & Stocco, A.
(2021).
Reflections of Idiographic Long-Term Memory Characteristics In
Resting-State Neuroimaging Data.
Cognition, 212.
bioRxiv
preprint | Github
repository | 10.1016/j.cognition.2021.104660
van der Velde, M., Sense, F., Borst, J. P., &
van Rijn, H. (2021).
Alleviating the Cold Start Problem in Adaptive Learning using
Data-Driven Difficulty Estimates.
Computational Brain & Behavior
PsyArXiv preprint |
OSF
| 10.1007/s42113-021-00101-6
(open access)
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, 113(1), 181–196.
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
Wilschut, T., Sense, F., Scharenborg, O., & van Rijn, H. (2023). Improving Adaptive Learning Models Using Prosodic Speech Features. International Conference on Artificial Intelligence in Education. Tokyo, Japan. website.
Sense, F., Collins, M.G., Kim, J.W., Krusmark, M.A., & Jastrzembski, T. (2022). The Predictive Performance Equation in a Generalized Knowledge Tracing Machine. Proceedings of the 20th International Conference on Cognitive Modeling. Toronto, Canada. pdf
Sense, F., Sanderson, L., Onia, J., Krusmark, M.A., Fiechter, J., Collins, M.G., & Jastrzembski, T. (2022). Fuzzy Performance Profiles: Towards Personalized CPR Refresher Training. Proceedings of the 44th Annual Meeting of the Cognitive Science Society. Toronto, Canada. pdf
Collins, M.G., Sense, F., Krusmark, M.A., & Jastrzembski, T. (2022). Extending the Predictive Performance Equation to Account for Multivariate Performance. Proceedings of the 44th Annual Meeting of the Cognitive Science Society. Toronto, Canada. pdf
Sense, F., Krusmark, M.A., Fiechter, J., Collins, M.G., Sanderson, L., Onia, J., & Jastrzembski, T. (2021). Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized Predictions. Proceedings of Educational Data Mining 2021. Virtual Conference. pdf
Fiechter, J., Sense, F., Collins, M.G., Krusmark, M.A., & Jastrzembski, T. (2021). Additional acquisition sessions monotonically benefit retention and relearning. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. Virutal Conference. pdf
Wilschut, T., van der Velde, M., Sense, F., Fountas, Z., & van Rijn, H. (2021). Translating a Typing-Based Adaptive Learning Model to Speech-Based L2 Vocabulary Learning. Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Virtual Conference. 10.1145/3450613.3456825.
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 | pdf
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.