T.J. (Thomas) Wilschut, MSc

PhD Student

Faculteit Gedrags- & Maatschappijwetenschappen

Telefoon:

050 36 35428

Faculteit Medische Wetenschappen/UMCG

Telefoon:

E-mail:

t.j.wilschut rug.nl

Homepage ORCID Research Portal

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., 10-jul.-2025, (E-pub ahead of print) In: Journal of Experimental Psychology: Applied. 19 blz.

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. (uitgave). 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. (uitgave). 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

Alle (12) publicaties

Bekijk volledig onderzoeksprofiel

T.J. (Thomas) Wilschut, MSc

Publicaties

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

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

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

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

Incorporating Cognitive Factors into Models of Speech Motor Control

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

Improving Adaptive Learning Models Using Prosodic Speech Features

Prior Knowledge Norms for Naming Country Outlines: An Open Stimulus Set

Interactions Between Visual Working Memory, Attention, and Color Categories: A Pupillometry Study

Benefits of Adaptive Learning Transfer From Typing-Based Learning to Speech-Based Learning