Publikationen

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Alonso Palomino; Andreas Fischer; Jakub Kuzilek; Jarek Nitsch; Niels Pinkwart; Benjamin Paaßen
EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language
In: Kai-Wei Changi; Annie Lee; Nazneen Rajani (Hrsg.). Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations. Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL-2024), System Demonstrations, located at System Demonstrations Track, Mexico City, Mexico City, Mexico, ACL, 6/2024.
Johannes Schleiss; Dana-Kristin Mah; Katrin Böhme; David Fischer; Janne Mesenhöller; Benjamin Paaßen; Sabrina Schork; Johannes Schrumpf
Künstliche Intelligenz in der Bildung. Drei Zukunftsszenarien und fünf Handlungsfelder
Diskussionspapier, KI-Campus, Publikationsreihe des KI-Campus, Vol. März 2023, 3/2023.
Tobias Baumgartner; Benjamin Paaßen; Stefanie Klatt
Extracting spatial knowledge from track and field broadcasts for monocular 3D human pose estimation
In: nature scientific reports (Sci Rep), Vol. 13, No. 14031, Pages 1-11, Springer nature, 2023.
Berit Blanc; Insa Reichow; Benjamin Paaßen
Was wirkt? Eine Literaturstudie zur Wirksamkeit von Systemeigenschaften in Mathematik-Lernumgebungen
In: 21. Fachtagung Bildungstechnologien (DELFI) - Proceedings. Fachtagung Bildungstechnologien (DELFI-2023), September 11-13, Aachen, Germany, Pages 293-294, GI-Edition: Lecture Notes in Informatics (LNI), Vol. P338, ISBN 978-3-88579-732-6, Gesellschaft für Informatik e.V. Bonn, 2023.
Benjamin Paaßen; Julian Dehne; Swathi Krishnaraja; Anastasia Kovalkov; Kobi Gal; Niels Pinkwart
A conceptual graph-based model of creativity in learning
Humboldt-Universität zu Berlin, Frontiers in Education, Vol. 7, 11/2022.
Benjamin Paaßen; Tobias Baumgartner; Mai Geisen; Nina Riedl; Milos Kravcik
Few-shot keypose detection for learning of psychomotor skills
In: Khaleel Asyraaf Mat Sanusi; Bibeg Limbu; Jan Schneider; Daniele Di Mitri; Roland Klemke (Hrsg.). Proceedings of the Second International Workshop on Multimodal Immersive Learning Systems (MILeS 2022). International Workshop on Multimodal Immersive Learning Systems (MILeS-2022), located at 17th European Conference on Technology Enhanced Learning (EC-TEL 2022), September 12-16, Toulouse, France, Pages 22-27, Vol. 3247, CEUR Workshop Proceedings, Aachen, 10/2022.
Benjamin Paaßen; Malwina Dywel; Melanie Fleckenstein; Niels Pinkwart
Sparse Factor Autoencoders for Item Response Theory
In: Alexandra I. Cristea; Chris Brown; Tanja Mitrovic; Nigel Bosch (Hrsg.). Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022). International Conference on Educational Data Mining (EDM-2022), July 24-27, Durham, United Kingdom, International Educational Data Mining Society, 7/2022.
Benjamin Paaßen; Malwina Dywel; Melanie Fleckenstein; Niels Pinkwart
Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings
In: Maria Mercedes Rodrigo; Noburu Matsuda; Alexandra I. Cristea; Vania Dimitrova (Hrsg.). 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), July 27-31, Durham, United Kingdom, Pages 132-137, LNCS, Vol. 13356, Springer, Cham, 7/2022.
Insa Reichow; Katja Buntins; Benjamin Paaßen; Hasan Abu-Rasheed; Christian Weber; Mareike Dornhöfer
Recommendersysteme in der beruflichen Weiterbildung. Grundlagen, Herausforderungen und Handlungsempfehlungen
Ein Dossier im Rahmen des INVITE-Wettbewerbs, Berlin, 5/2022.
Benjamin Paaßen; Christina Göpfert; Niels Pinkwart
Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood
In: Alexandra I. Cristea; Chris Brown; Tanja Mitrovic; Nigel Bosch (Hrsg.). Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022). International Conference on Educational Data Mining (EDM-2022), July 24-27, Durham, United Kingdom, International Educational Data Mining Society, 2022.