Sleutelpublicaties
Brinkhuis, M. J. S., & Maris, G. (2020). Dynamic estimation in the extended marginal Rasch model with an application to mathematical computer-adaptive practice. British Journal of Mathematical and Statistical Psychology, 73(1), 72-87. https://doi.org/10.1111/bmsp.12157
Brinkhuis, M. J. S., Cordes, W., & Hofman, A. D. (2020). Governing games: Adaptive game selection in the Math Garden. In D. Ivanovic (Ed.), ITM Web Conf.: International Conference on ICT enhanced Social Sciences and Humanities (ICTeSSH 2020) (Vol. 33). Article 03003 EDP Sciences. https://doi.org/10.1051/itmconf/20203303003
Brinkhuis, M. J. S., Savi, A. O., Coomans, F., Hofman, A. D., van der Maas, H. L. J., & Maris, G. (2018). Learning As It Happens: A Decade of Analyzing and Shaping a Large-Scale Online Learning System. Journal of Learning Analytics, 5(2), 29-46. https://doi.org/10.18608/jla.2018.52.3
Brinkhuis, M. J. S., & Maris, G. (2019). Tracking Ability: Defining Trackers for Measuring Educational Progress. In B. P. Veldkamp, & C. Sluijter (Eds.), Theoretical and Practical Advances in Computer-based Educational Measurement (pp. 161). (Methodology of Educational Measurement and Assessment). Springer. https://doi.org/10.1007/978-3-030-18480-3_8
Publicaties
2024
Wetenschappelijke publicaties
Maas, L., Madison, M. J., & Brinkhuis, M. J. S. (2024). Properties and performance of the one-parameter log-linear cognitive diagnosis model. Frontiers in Education, 9, Article 1287279. https://doi.org/10.3389/feduc.2024.1287279
2023
Wetenschappelijke publicaties
Ferguson, R., Khosravi, H., Kovanović, V., Viberg, O., Aggarwal, A., Brinkhuis, M., Shum, S. B., Chen, L. K., Drachsler, H., Guerrero, V. A., Hanses, M., Hayward, C., Hicks, B., Jivet, I., Kitto, K., Kizilcec, R., Lodge, J. M., Manly, C. A., Matz, R. L., ... Yan, V. X. (2023). Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. Journal of Learning Analytics, 10(2), 14-50. https://doi.org/10.18608/jla.2023.8197
van Haastrecht, M., Brinkhuis, M., Wools, S., & Spruit, M. (2023). VAST: a practical validation framework for e-assessment solutions. Information Systems and e-Business Management, 21(3), 603-627. https://doi.org/10.1007/s10257-023-00641-3
Toledo, C. V., Schraagen, M., Dijk, F. V., Brinkhuis, M., & Spruit, M. (2023). Readability Metrics for Machine Translation in Dutch: Google vs. Azure & IBM. Applied Sciences, 13(7), 1-14. Article 4444. https://doi.org/10.3390/app13074444
Dijk, F. V., Gadellaa, J., Toledo, C. V., Spruit, M., Brinkkemper, S., & Brinkhuis, M. (2023). Uncovering the structures of privacy research using bibliometric network analysis and topic modelling. Organizational Cybersecurity Journal: Practice, Process and People. https://doi.org/10.1108/OCJ-11-2021-0034
Haastrecht, M. V., Brinkhuis, M., Peichl, J., Remmele, B., & Spruit, M. (2023). Embracing Trustworthiness and Authenticity in the Validation of Learning Analytics Systems. In LAK23: 13ᵗʰ International Learning Analytics and Knowledge Conference (LAK 2023) (pp. 552-558). Association for Computing Machinery. https://doi.org/10.1145/3576050.3576060
van der Werf, J. M. E. M., Polyvyanyy, A., van Wensveen, B. R., Brinkhuis, M., & Reijers, H. A. (2023). All that glitters is not gold: Four maturity stages of process discovery algorithms. Information Systems, 114, Article 102155. https://doi.org/10.1016/j.is.2022.102155
2022
Wetenschappelijke publicaties
van Toledo, C., Schraagen, M., van Dijk, F. W., Brinkhuis, M., & Spruit, M. (2022). Exploring the Utility of Dutch Question Answering Datasets for Human Resource Contact Centres. Information, 13(11), 1-11. Article 513. https://doi.org/10.3390/info13110513
Domingue, B. W., Kanopka, K., Stenhaug, B., Sulik, M. J., Beverly, T., Brinkhuis, M., Circi, R., Faul, J., Liao, D., Mccandliss, B., Obradović, J., Piech, C., Porter, T., Consortium, P. I., Soland, J., Weeks, J., Wise, S. L., & Yeatman, J. (2022). Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings. Journal of Educational and Behavioral Statistics, 47(5), 576-602. https://doi.org/10.3102/10769986221099906
Bolsinova, M., Brinkhuis, M. J. S., Hofman, A. D., & Maris, G. (2022). Tracking a multitude of abilities as they develop. British Journal of Mathematical and Statistical Psychology, 75(3), 753-778. https://doi.org/10.1111/bmsp.12276
Maas, L., Brinkhuis, M., Kester, L., & Wijngaards, L. (2022). Cognitive diagnostic assessment in university statistics education: Valid and reliable skill measurement for actionable feedback using learning dashboards. Applied Sciences, 12(10), 1-19. Article 4809. https://doi.org/10.3390/app12104809
Maas, L., Brinkhuis, M., Kester, L., & Wijngaards, L. (2022). Diagnostic classification models for actionable feedback in education: Effects of sample size and assessment length. Frontiers in Education, 7, 1-17. Article 802828. https://doi.org/10.3389/feduc.2022.802828
Bolsinova, M., Maris, G., Hofman, A. D., van der Maas, H. L. J., & Brinkhuis, M. J. S. (2022). Urnings: A new method for tracking dynamically changing parameters in paired comparison systems. Journal of the Royal Statistical Society. Series C: Applied Statistics, 71(1), 91-118. https://doi.org/10.1111/rssc.12523
2021
Wetenschappelijke publicaties
van Haastrecht, M., Golpur, G., Tzismadia, G., Kab, R., Priboi, C., David, D., Răcătăian, A., Brinkhuis, M., & Spruit, M. (2021). A shared cyber threat intelligence solution for smes. Electronics (Switzerland), 10(23), 1-21. Article 2913. https://doi.org/10.3390/electronics10232913
van der Werf, J. M. E. M., Polyvyanyy, A., van Wensveen, B. R., Brinkhuis, M., & Reijers, H. A. (2021). All that Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees. In M. La Rosa, S. Sadiq, & E. Teniente (Eds.), Advanced Information Systems Engineering: 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings (1 ed., pp. 141-157). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12751). Springer Cham. https://doi.org/10.1007/978-3-030-79382-1_9
Dijk, F. V., Toledo, C. V., Spruit, M., & Brinkhuis, M. J. S. (2021). Pillars of Privacy: Identifying Core Theory in a Network Analysis of Privacy Literature. In ECIS 2021 Research Papers Article 1420 AIS Electronic Library (AISeL). https://aisel.aisnet.org/ecis2021_rp/84
van Haastrecht, M., Yigit Ozkan, B., Brinkhuis, M., & Spruit, M. (2021). Respite for SMEs: A Systematic Review of Socio-Technical Cybersecurity Metrics. Applied Sciences, 11(15), 1-28. Article 6909. https://doi.org/10.3390/app11156909
Vida, L. J., Brinkhuis, M. J. S., & Bolsinova, M. (2021). Speeding up without Loss of Accuracy: Item Position Effects on Performance in University Exams. In Proceedings of the 14th International Conference on Educational Data Mining https://educationaldatamining.org/EDM2021/virtual/poster_paper225.html
van Haastrecht, M., Sarhan, I., Yigit Ozkan, B., Brinkhuis, M., & Spruit, M. (2021). SYMBALS: A Systematic Review Methodology Blending Active Learning and Snowballing. Frontiers in Research Metrics and Analytics, 6, 1-14. Article 685591. https://doi.org/10.3389/frma.2021.685591
2020
Wetenschappelijke publicaties
van der Werf, J. M. E. M., Polyvyanyy, A., Wensveen, B. R. V., Brinkhuis, M., & Reijers, H. A. (2020). All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees. (pp. 1-13). arXiv. https://doi.org/10.48550/arXiv.2012.12764
https://dspace.library.uu.nl/bitstream/handle/1874/415169/2012.12764v1.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/415169/2012.12764v1.pdf?sequence=1
Domingue, B., Kanopka, K., Stenhaug, B., Sulik, M., Beverly, T., Brinkhuis, M. J. S., Circi, R., Faul, J., Liao, D., McCandliss, B., Obradovic, J., Piech, C., Porter, T., Soland, J., Weeks, J., Wise, S., & Yeatman, J. D. (2020). Speed accuracy tradeoff? Not so fast: Marginal changes in speed have inconsistent relationships with accuracy in real-world settings. PsyArXiv. https://doi.org/10.31234/osf.io/kduv5
Brinkhuis, M. J. S., Cordes, W., & Hofman, A. D. (2020). Governing games: Adaptive game selection in the Math Garden. In D. Ivanovic (Ed.), ITM Web Conf.: International Conference on ICT enhanced Social Sciences and Humanities (ICTeSSH 2020) (Vol. 33). Article 03003 EDP Sciences. https://doi.org/10.1051/itmconf/20203303003
Omta, W., van Heesbeen, R., Shen, Z., de Nobel, J., van der Velden, L., Medema, R., Siebes, A., Feelders, A., Brinkkemper, S., Klumperman, J., Spruit, M., Brinkhuis, M., & Egan, D. (2020). Combining Supervised and Unsupervised Machine Learning Methods for Phenotypic Functional Genomics Screening. SLAS Discovery, 25(6), 655–664. https://doi.org/10.1177/2472555220919345
Maris, G., Bolsinova, M., Hofman, A. D., van der Maas, H. L. J., & Brinkhuis, M. J. S. (2020). Urnings: A new method for tracking dynamically changing parameters in paired comparison systems. Open Science Framework. https://doi.org/10.31219/osf.io/nep6a
Hofman, A. D., Brinkhuis, M. J. S., Bolsinova, M., Klaiber, J., Maris, G., & van der Maas, H. L. J. (2020). Tracking with (Un)certainty. Journal of Intelligence, 8(1), Article 10. https://doi.org/10.3390/jintelligence8010010
Brinkhuis, M. J. S., & Maris, G. (2020). Dynamic estimation in the extended marginal Rasch model with an application to mathematical computer-adaptive practice. British Journal of Mathematical and Statistical Psychology, 73(1), 72-87. https://doi.org/10.1111/bmsp.12157
Omta, W., Heesbeen, R. V., Shen, I., Feelders, A., Brinkhuis, M., Egan, D., & Spruit, M. (2020). PurifyR: an R Package for highly automated reproducible variable extraction and standardization. Families, Systems and Health, 3(1), 1-7. https://doi.org/10.1089/sysm.2019.0007
Niemeijer, K., Feskens, R., Krempl, G., Koops, J., & Brinkhuis, M. J. S. (2020). Constructing and Predicting School Advice for Academic Achievement: A Comparison of Item Response Theory and Machine Learning Techniques. In Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK ’20) (pp. 462-471). Article 15 ACM. https://doi.org/10.1145/3375462.3375486
2019
Wetenschappelijke publicaties
Brinkhuis, M. J. S., & Maris, G. (2019). Tracking Ability: Defining Trackers for Measuring Educational Progress. In B. P. Veldkamp, & C. Sluijter (Eds.), Theoretical and Practical Advances in Computer-based Educational Measurement (pp. 161). (Methodology of Educational Measurement and Assessment). Springer. https://doi.org/10.1007/978-3-030-18480-3_8
De Jong, P., Van Der Werf, J. M. E. M., Van Steenbergen, M., Bex, F., & Brinkhuis, M. (2019). Evaluating Design Rationale in Architecture. In 2019 IEEE International Conference on Software Architecture: proceedings, 25-29 March 2019, Hamburg, Germany (pp. 145-152). Article 8712158 IEEE Computer Society / Conference Publishing Services. https://doi.org/10.1109/ICSA-C.2019.00033
2018
Wetenschappelijke publicaties
van der Waa, J., Robeer, M., van Diggelen, J., Brinkhuis, M., & Neerincx, M. (2018). Contrastive Explanations with Local Foil Trees. https://doi.org/10.48550/arXiv.1806.07470
Brinkhuis, M. J. S., Savi, A. O., Coomans, F., Hofman, A. D., van der Maas, H. L. J., & Maris, G. (2018). Learning As It Happens: A Decade of Analyzing and Shaping a Large-Scale Online Learning System. Journal of Learning Analytics, 5(2), 29-46. https://doi.org/10.18608/jla.2018.52.3
Sosnovsky, S., Müter, L., Valkenier, M., Brinkhuis, M., & Hofman, A. (2018). Detection of Student Modelling Anomalies. In Lifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Proceedings (pp. 531-536). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11082 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-98572-5_41
2017
Wetenschappelijke publicaties
Kos, W., Schraagen, M. P., Brinkhuis, M. J. S., & Bex, F. J. (2017). Classification in a Skewed Online Trade Fraud Complaint Corpus. In B. Verheij, & M. Wiering (Eds.), Preproceedings of the 29th Benelux Conference on Artificial Intelligence November 8–9, 2017 in Groningen, The Netherlands: BNAIC 2017 (pp. 172-183)
https://dspace.library.uu.nl/bitstream/handle/1874/356746/Kos_bnaic_preproceedings.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/356746/Kos_bnaic_preproceedings.pdf?sequence=1
Schraagen, M. P., Brinkhuis, M. J. S., & Bex, F. J. (2017). Evaluation of Named Entity Recognition in Dutch Online Criminal Complaints. Unpublished. In ICAIL 2017 workshop on Discovery of Electronically Stored Information (DESI VII)
https://dspace.library.uu.nl/bitstream/handle/1874/429601/NER_Eval_Schraagen_et_al_final.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/429601/NER_Eval_Schraagen_et_al_final.pdf?sequence=1
Omta, W. A., de Nobel, J., Klumperman, J., Egan, D. A., Spruit, M. R., & Brinkhuis, M. J. S. (2017). Improving Comprehension Efficiency of High Content Screening Data Through Interactive Visualizations. Assay and Drug Development Technologies, 15(6), 247-256. https://doi.org/10.1089/adt.2017.794
Schraagen, M. P., Brinkhuis, M. J. S., & Bex, F. J. (2017). Evaluation of Named Entity Recognition in Dutch online criminal complaints. Computational Linguistics in The Netherlands journal, 7, 3-16. https://clinjournal.org/clinj/article/view/65
https://dspace.library.uu.nl/bitstream/handle/1874/356185/01.NERclinjournal.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/356185/01.NERclinjournal.pdf?sequence=1
2016
Wetenschappelijke publicaties
Coomans, F., Hofman, A., Brinkhuis, M., Van Der Maas, H. L. J., & Maris, G. (2016). Distinguishing fast and slow processes in accuracy - Response time data. PLoS One, 11(5), Article e0155149. https://doi.org/10.1371/journal.pone.0155149
2015
Wetenschappelijke publicaties
Brinkhuis, M. J. S., Bakker, M., & Maris, G. (2015). Filtering Data for Detecting Differential Development: Detecting Differential Development. Journal of Educational Measurement, 52(3), 319-338. https://doi.org/10.1111/jedm.2015.52.issue-3
2012
Wetenschappelijke publicaties
Hox, J. J., De Leeuw, E. D., Brinkhuis, M. J. S., & Ooms, J. (2012). Multigroup and multilevel approaches to measurement equivalence. In S. Salzborn, E. Davidov, & J. Reinecke (Eds.), Methods, Theories, and Empirical Applications in the Social Sciences (pp. 91-96). Springer. https://doi.org/10.1007/978-3-531-18898-0_12
2010
Wetenschappelijke publicaties
Hox, J. J., De Leeuw, E. D., & Brinkhuis, M. J. S. (2010). Analysis models for comparative surveys. In J. Harkness, M. Braun, B. Edwards, T. Johnson, L. Lyberg, P. Mohler, B. E. Pennell, & T. W. Smith (Eds.), Survey Methods in Multicultural, Multinational, and Multiregional Context (pp. 395-418). Wiley.