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T.J. (Thomas) Wilschut, MSc

PhD Student
Publicaties

Publicaties

Benefits of pretesting prior to retrieval practice are limited, unless used for prior knowledge–based personalization.

Wilschut, T., van der Velde, M., Sense, F., Finn, B., Arslan, B. & van Rijn, H., 2026, In: Journal of Experimental Psychology: Applied. 32, 1, blz. 19-37 19 blz.

Onderzoeksoutput › › peer review

Cognitive and metacognitive markers of memory retrieval performance in speech prosody

Wilschut, T., Sense, F. & van Rijn, H., 29-mei-2026, (E-pub ahead of print) In: Memory and Cognition. 17 blz.

Onderzoeksoutput › › peer review

Computational assessment of memory function in kidney transplant recipients and donors

TransplantLines Investigators, 5-jun-2026, (E-pub ahead of print) In: Communications medicine.

Onderzoeksoutput › › peer review

Trends in testing effect research: from lab to classroom, but not yet for all learners

Wilschut, T., Sense, F. & van Rijn, H., 9-mrt-2026, In: NPJ science of learning. 11, 1, 25.

Onderzoeksoutput › › peer review

Evidence-Based Dynamic Personalization for Learning and Assessment Tools (ED-PLAT): Machine- and Learner-Driven Adaptation to Support All Learners

Arslan, B., Wilschut, T., van Rijn, H. & van der Velde, M., 2025, Artificial Intelligence in Education: 26th International Conference, AIED 2025, Palermo, Italy, July 22–26, 2025, Proceedings, Part II. Cristea, A. I., Walker, E., Lu, Y., Santos, O. C. & Isotani, S. (reds.). Springer International Publishing, Cham, Switzerland, blz. 477-491 15 blz. (Lecture Notes in Computer Science; vol. 15878 LNAI).

Onderzoeksoutput › › peer review

Modality Matters: Evidence for the Benefits of Speech-Based Adaptive Retrieval Practice in Learners with Dyslexia

Wilschut, T., Sense, F. & van Rijn, H., jan-2025, In: Topics in Cognitive Science. 17, 1, blz. 57-72 16 blz.

Onderzoeksoutput › › peer review

Association between Speech Motor Learning and Model-based Estimates of Memory Retrieval

Wilschut, T., Polsterer, K., Tienkamp, T., van Rijn, H., Sibert, C. & Abur, D., 2024.

Onderzoeksoutput ›

Incorporating Cognitive Factors into Models of Speech Motor Control

Lucquiault, V., Wilschut, T., Abur, D. & Sibert, C., 2024.

Onderzoeksoutput ›

Speaking to remember: Model-based adaptive vocabulary learning using automatic speech recognition

Wilschut, T., Sense, F. & van Rijn, H., mrt-2024, In: Computer Speech and Language. 84, 101578.

Onderzoeksoutput › › peer review

Improving Adaptive Learning Models Using Prosodic Speech Features

Wilschut, T., Sense, F., Scharenborg, O. & van Rijn, H., 2023, Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings. Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O. C. & Dimitrova, V. (reds.). Springer, blz. 255-266 12 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13916 LNAI).

Onderzoeksoutput › › peer review

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