Journal contributions
2025
- Wilschut, T., van der Velde, M., Sense, F., Finn, B., Arslan, B., & van Rijn, H. (2025). Benefits of pretesting prior to retrieval practice are limited, unless used for prior knowledge–based personalization. Journal of Experimental Psychology: Applied. DOI PDF
2024
- Wilschut, T., Sense, F., & van Rijn, H. (2024). Modality Matters: Evidence for the Benefits of Speech‐Based Adaptive Retrieval Practice in Learners with Dyslexia. Topics in Cognitive Science. DOI OSF PDF
- 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. DOI OSF PDF
2023
- 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), 14. DOI OSF PDF
2022
- Wilschut, T., & Mathôt, S. (2022). Interactions Between Visual Working Memory, Attention, and Color Categories: A Pupillometry Study. Journal of Cognition, 5(1), 16. DOI OSF PDF
2021
- 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. DOI OSF PDF
Conference papers
2025
- Arslan, B., Wilschut, T., van Rijn, H., & van der Velde, M. (2025, July). Evidence-Based Dynamic Personalization for Learning and Assessment Tools (ED-PLAT): Machine-and Learner-Driven Adaptation to Support All Learners. In International Conference on Artificial Intelligence in Education (pp. 477-491). Cham: Springer Nature Switzerland.
2024
- Wilschut, T., Braam, M., Sense, F., & van Rijn, H. (2024). Modeling Instance-Based Rule Learning in an Adaptive Retrieval Practice Task. In Sibert, C. Proceedings of the 22nd International Conference on Cognitive Modelling (pp. 230-236). University Park, PA: Applied Cognitive Science Lab, Penn State.
2023
- Wilschut, T., Sense, F., & van Rijn, H. (2023). Cognitive and Meta-cognitive Signatures of Memory Retrieval Performance in Spoken Word Learning. In Sibert, C. (Ed.). Proceedings of the 21st International Conference on Cognitive Modelling (pp. 279-280). University Park, PA: Applied Cognitive Science Lab, Penn State.
- Iancu, S., Braam, M., McCabe, N., Wilschut, T., van Rijn, H., & van der Velde, M. (2023). An Adaptive Learning System for Stepwise Automatisation of Multiplication Facts in Primary Education. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46).
- Wilschut, T., Sense, F., Scharenborg, O., & van Rijn, H. (2023). Improving Adaptive Learning Models Using Prosodic Speech Features. In Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O.C., & Dimitrova, V. (eds). Lecture Notes in Computer Science (pp. 255-267), vol 13916. Springer, Cham.
2022
- Wilschut, T., Sense, F., Scharenborg, O., & van Rijn, H. (2022). Beyond Responding Fast or Slow: Improving Cognitive Models of Memory Retrieval using Prosodic Speech Features. In Stewart, T. C. (Ed.). Proceedings of the 20th International Conference on Cognitive Modelling (pp. 258-260). University Park, PA: Applied Cognitive Science Lab, Penn State
- Wilschut, T., Sense, F., van der Velde, M., & van Rijn, H. (2022). Test Before Study: Maximizing Adaptive Learning Gains using Prior Knowledge Assessment. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, No. 44).
2021
- 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. In Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 245-250).