Journal articles

2022

van der Velde, M., Sense, F., Borst, J. P., & van Rijn, H. (under review). Explaining forgetting at different timescales requires a time-variant forgetting function. PsyArXiv.
10.31234/osf.io/d58n4 | paper | OSF

2021

van der Velde, M., Sense, F., Borst, J. P., & van Rijn, H. (2021). 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 | paper | OSF

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 | paper | OSF

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, 1-15.
(*) Shared first authorship.
10.18608/jla.2021.6590 | paper | OSF

van der Velde, M., Sense, F., Borst, J., & van Rijn, H. (2021). Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates. Computational Brain & Behavior, 4, 231-249.
10.1007/s42113-021-00101-6 | paper | OSF

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, 780131.
10.3389/frai.2021.780131 | paper | OSF

2018

van Vugt, M. K., van der Velde, M., & ESM-MERGE Investigators (2018). How Does Rumination Impact Cognition? A First Mechanistic Model. Topics in Cognitive Science, 10(1), 175-191.
10.1111/tops.12318 | paper | code

Conference contributions

2022

van der Velde, M., Sense, F., Borst, J. P., & van Rijn, H. (2022). Modelling Forgetting at Different Timescales. CogSci 2022. Toronto, Canada.
poster | OSF

Wilschut, T. J., Sense, F., van der Velde, M., & van Rijn, H. (2022). Test Before Study: Maximizing Adaptive Learning Gains using Prior Knowledge Assessment. CogSci 2022. Toronto, Canada.
poster

van der Velde, M., Sense, F., Borst, J. P., & van Rijn, H. (2022). Explaining forgetting at different timescales requires a time-variant forgetting function. MathPsych/ICCM 2022. Toronto, Canada.
OSF

van der Velde, M., Sense, F., Borst, J. P., van Maanen, L., & van Rijn, H. (2022). Capturing Behavioural Dynamics in a Cognitive Model of Memory Retrieval. 18th NVP Winter Conference on Brain and Cognition. Egmond aan Zee, The Netherlands.
poster | OSF

2021

van der Velde, M., Sense, F., Borst, J., den Hartigh, R., Baatenburg de Jong, M., & van Rijn, H. (2021). Memory Performance in Special Forces: Speedier Responses Explain Improved Task Performance after Physical Exertion. CogSci 2021 (virtual conference).
video | OSF

van der Velde, M., Sense, F., Borst, J., & van Rijn, H. (2021). Capturing dynamic performance in a cognitive model: Estimating ACT-R memory parameters with the linear ballistic accumulator. Virtual MathPsych/ICCM 2021 (virtual conference).
Winner of the ICCM 2021 Allen Newell Best Student-led Paper Award
paper | video | OSF

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. UMAP '21 (virtual conference).
paper | video | 10.1145/3450613.3456825

2020

van der Velde, M., Sense, F., Borst, J., den Hartigh, R., Baatenburg de Jong, M., & van Rijn, H. (2020). Cognition at Special Forces Boot Camp: Does High-Intensity Physical Exercise Affect Memorisation? CogSci 2020 (virtual conference).
poster | video | OSF

van der Velde, M., Sense, F., Borst, J., & van Rijn, H. (2020). A Bayesian Collaborative Filtering Approach to Alleviating the Cold Start Problem in Adaptive Fact Learning. Virtual MathPsych/ICCM 2020 (virtual conference).
video

van der Velde, M., Sense, F., & van Rijn, H. (2020). Lessons Learned from Deploying an Adaptive Learning System in a University Course. EARLI SIG 10/21/25 (virtual conference).
slides

2019

van der Velde, M., Sense, F., Borst, J., & van Rijn, H. (2019). Alleviating the Cold-Start Problem in Adaptive Fact Learning Using Bayesian Modelling. 17th NVP Winter Conference on Brain & Cognition, Egmond aan Zee, The Netherlands.
slides

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

2018

van der Velde, M., van Vugt, M. K., & Taatgen, N. (2018). Modelling the Effect of Depression on Working Memory. In I. Juvina, J. Houpt, & C. Myers (Eds.). Proceedings of the 16th International Conference on Cognitive Modeling (pp. 200-205). Madison, WI.
paper | slides | data / code

Sense, F., van der Velde, M., & van Rijn, H. (2018). Deploying a Model-based Adaptive Fact-Learning System in University Courses. In I. Juvina, J. Houpt, & C. Myers (Eds.). Proceedings of the 16th International Conference on Cognitive Modeling (pp. 137-138). Madison, WI.
poster | data / code

2017

van der Velde, M., & van Vugt, M. K. (2017). Modelling Rumination: Understanding the Cognitive Mechanisms of Mind-Wandering in the Depressed Mind. Winter Conference of the Nederlandse Vereniging voor Psychonomie, Egmond aan Zee, The Netherlands.
slides

van Vugt, M. K., van der Velde, M., & ESM-MERGE Investigators (2017). How does rumination impact cognition? A first mechanistic model. In M. van Vugt, A.P. Banks, & W.G. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling (pp. 25–30). Warwick, United Kingdom.
paper | code