B. Paaßen, C. Göpfert, and N. Pinkwart. Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood. Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022), 2022.

B. Paaßen, M. Dywel, M. Fleckenstein, and N. Pinkwart. Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings. Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. International Conference on Artificial Intelligence in Education (AIED-2022), Springer, pages 132-137, 2022.

B. Paaßen, M. Dywel, M. Fleckenstein, and N. Pinkwart. Sparse Factor Autoencoders for Item Response Theory. Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022), 2022.

B. Paaßen, J. Dehne, S. Krishnaraja, A. Kovalkov, K. Gal, and N. Pinkwart. A conceptual graph-based model of creativity in learning. Frontiers in Education, New Teaching and Learning Worlds - Potentials and Limitations of Digitalization for Innovative and Sustainable Research and Practice in Education and Training, Frontiers, volume 7, November 2022.

A. Kovalkov, B. Paaßen, A. Segal, K. Gal, and N. Pinkwart. Modeling Creativity in Visual Programming: From Theory to Practice. Proceedings of the 14th International Conference on Educational Data Mining (EDM 2021), pages 518-524, 2021.

A. Kovalkov, B. Paaßen, A. Segal, N. Pinkwart, and K. Gal. Automatic Creativity Measurement in Scratch Programs Across Modalities. IEEE Transactions on Learning Technologies, IEEE, volume 14, issue 6, 2021.

B. Paaßen, A. Bertsch, K. Langer-Fischer, S. Rüdian, X. Wang, R. Sinha, J. Kuzilek, S. Britsch, and N. Pinkwart. Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks. International Conference on Educational Data Mining (EDM21), volume 14, July 2021.

B. Paassen, B. Hammer, T. Price, T. Barnes, S. Gross, and N. Pinkwart. The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces. Journal of Educational Data Mining, Educational Data Mining Society, volume 10, issue 1, 2018.

S. Gross, B. Mokbel, B. Paassen, B. Hammer, and N. Pinkwart. Example-based feedback provision using structured solution spaces. International Journal of Learning Technology, volume 9, issue 3, 2014.

B. Mokbel, S. Gross, B. Paassen, N. Pinkwart, and B. Hammer. Domain-Independent Proximity Measures in Intelligent Tutoring Systems. Proceedings of the 6th International Conference on Educational Data Mining (EDM), 2013.