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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

A. Palomino, A. Fischer, J. Kuzilek, J. Nitsch, N. Pinkwart, and B. Paaßen
EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations), ACL, 2024
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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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