Journal Articles by B. Paassen


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, 7, 2022
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A. Kovalkov, B. Paaßen, A. Segal, N. Pinkwart, and K. Gal
Automatic Creativity Measurement in Scratch Programs Across Modalities
IEEE Transactions on Learning Technologies, 14(6), 2021
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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, 10(1), 2018
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S. Gross, B. Mokbel, B. Paassen, B. Hammer, and N. Pinkwart
Example-based feedback provision using structured solution spaces
International Journal of Learning Technology, 9(3), 2014
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Conference Papers


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
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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), 132-137, 2022
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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
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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), 518-524, 2021
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B. Paaßen, A. Bertsch, K. Langer-Fischer, S. Rüdian, X. Wang, R. Sinha, J. Kuzilek, S. Britsch, et al.
Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks
International Conference on Educational Data Mining (EDM21), 2021
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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
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