prof. dr. D.H. (Hedderik) van Rijn

Faculty of Behavioural and Social Sciences

Telephone:

+31 6 4924 9103

E-mail:

d.h.van.rijn rug.nl

Homepage ORCID Research Portal

Publications

Are You Doubtful? Oh, It Might Be Difficult Then! Exploring the Use of Model Uncertainty for Question Difficulty Estimation

Zotos, L., van Rijn, H. & Nissim, M., 2025, Proceedings of the 18th International Conference on Educational Data Mining, EDM 2025. Mills, C., Alexandron, G., Taibi, D., Lo Bosco, G. & Paquette, L. (eds.). International Educational Data Mining Society, p. 77-89 13 p. (Proceedings of the International Conference on Educational Data Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

A Unified Neurocomputational Model of Prospective and Retrospective Timing

de Jong, J., Akyürek, E. & van Rijn, H., 2025, In: Psychological Review. 132, 4, p. 781-827 47 p.

Research output: Contribution to journal › Article › Academic › peer-review

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 p.

Research output: Contribution to journal › Article › Academic › peer-review

Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty?

Zotos, L., van Rijn, H. & Nissim, M., Jan-2025, Proceedings of the 31st International Conference on Computational Linguistics. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Abu Dhabi, UAE: Association for Computational Linguistics (ACL), p. 11304-11316 13 p. (Proceedings - International Conference on Computational Linguistics, COLING; vol. Part F206484-1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Default mode network connectivity predicts individual differences in long-term forgetting: Evidence for storage degradation, not retrieval failure

Xu, Y., Prat, C. S., Sense, F., van Rijn, H. & Stocco, A., Sept-2025, In: PLoS Computational Biology. 21, 9, 26 p., e1013485.

Research output: Contribution to journal › Article › Academic › peer-review

Estimating the Mean: Behavioral and Neural Correlates of Summary Representations for Time Intervals

Otsuka, T., Karsilar, H. & van Rijn, H., Sept-2025, In: Journal of Cognitive Neuroscience. 37, 9, p. 1562-1580 19 p.

Research output: Contribution to journal › Article › Academic › 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. (eds.). Springer International Publishing, Cham, Switzerland, p. 477-491 15 p. (Lecture Notes in Computer Science; vol. 15878 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Gamified feedback in adaptive retrieval practice: Points and progress-bars enhance motivation but not learning

van den Broek, G. S. E., Scholten, S., van Thuil, B., van Rijn, H., van Gog, T. & van der Velde, M., Apr-2026, In: Computers in Human Behavior. 177, 14 p., 108862.

Research output: Contribution to journal › Article › Academic › peer-review

Generating Competitive Distractors from Student Error Data

Braam, M., Van Der Velde, M. & Van Rijn, H., 17-Jul-2025, L@S 2025 - Proceedings of the 12th ACM Conference on Learning @ Scale. Association for Computing Machinery, Inc, p. 305-309 5 p. (L@S 2025 - Proceedings of the 12th ACM Conference on Learning @ Scale).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Generating Competitive Distractors from Student Error Data

Braam, M., van der Velde, M. & van Rijn, H., 2025, Proceedings of the 18th International Conference on Educational Data Mining, EDM 2025. Mills, C., Alexandron, G., Taibi, D., Lo Bosco, G. & Paquette, L. (eds.). International Educational Data Mining Society, p. 592-595 4 p. (Proceedings of the International Conference on Educational Data Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review