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Educational Technology Lab

Publikationen

Seite 1 von 31.

  1. Hassan Soliman; Milos Kravcik; Alexander Tobias Neumann; Yue Yin; Norbert Pengel; Maike Haag

    Scalable Mentoring Support with a Large Language Model Chatbot

    In: Rafael Ferreira Mello; Nikol Rummel; Ioana Jivet; Gerti Pishtari; José A. Ruipérez Valiente (Hrsg.). Technology Enhanced Learning for Inclusive and Equitable Quality Education. European Conference on Technology Enhanced Learning (EC-TEL-2024), 19th European Conference on Technology Enhanced Learning, EC-TEL 2024, September 16-20, Krems, Austria, Pages 260-266, Lecture Notes in Computer Science (LNCS), Vol. 15160, ISBN 978-3-031-72311-7, Springer, Cham, 9/2024.

  2. BloomLLM: Large Language Models Based Question Generation Combining Supervised Fine-Tuning and Bloom’s Taxonomy

    In: Rafael Ferreira Mello; Nikol Rummel; Ioana Jivet; Gerti Pishtari; José A. Ruipérez Valiente (Hrsg.). Technology Enhanced Learning for Inclusive and Equitable Quality Education. European Conference on Technology Enhanced Learning (EC-TEL-2024), 19th European Conference on Technology Enhanced Learning, September 16-20, Krems, Austria, Pages 93-98, Lecture Notes in Computer Science (LNCS), Vol. 15160, ISBN 978-3-031-72311-7, Springer, Cham, 9/2024.

  3. Insa Reichow; Lutz Goertz; Berit Blanc; Katja Buntins; Monica Hochbauer; Sheikh Faisal Rashid

    Lerntechnologien in der beruflichen Aus- und Weiterbildung. 11 Fragen - 11 Antworten.

    Ein Dossier im Rahmen des Innnovationswettbewerbs INVITE, 7/2024.

  4. Leo Sylvio Rüdian; Clara Schumacher; Michael Hanses; Jakub Kuzilek; Niels Pinkwart

    Rule-based and prediction-based computer-generated Feedback in Online Courses

    In: 2024 IEEE International Conference on Advanced Learning Technologies (ICALT). IEEE International Conference on Advanced Learning Technologies (ICALT), July 1-4, Nicosia, Cyprus, Pages 285-286, IEEE, 7/2024.

  5. Hae Seon Yun; Heiko Hübert; Niels Pinkwart; Verena V Hafner

    Design Based Research of Multimodal Robotic Learning Companions

    In: Andrew M. Olney; Irene-Angelica Chounta; Zitao Liu; Olga C. Santos; Ibert Bittencourt (Hrsg.). International Conference on Artificial Intelligence in Education. Pages 97-104, ISBN 978-3-031-64312-5, Springer Nature Switzerland, 7/2024.

  6. 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.

  7. Alexander Pögelt; Katja Ihsberner; Norbert Pengel; Milos Kravcik; Martin Grüttmüller; Wolfram Hardt

    Individualised Mathematical Task Recommendations through Intended Learning Outcomes and Reinforcement Learning

    In: Angelo Sifaleras; Fuhua Lin (Hrsg.). Generative Intelligence and Intelligent Tutoring Systems. International Conference on Intelligent Tutoring Systems (ITS-2024), located at 20th International Conference, ITS 2024, June 10-13, Thessaloniki, Greece, Pages 117-130, Lecture Notes in Computer Science (LNCS), Vol. 14798, ISBN 978-3-031-63027-9, 978-3-031-63028-6, Springer, Cham, 6/2024.

  8. FitSight: Tracking and Feedback Engine for Personalized Fitness Training

    In: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2024), July 1-4, Cagliari, Italy, Pages 223-231, ISBN 979-8-4007-0433-8, ACM, New York, USA, 6/2024.

  9. Abhishek Samanta; Hitesh Kotte; Patrick Handwerk; Khaleel Asyraaf Mat Sanusi; Mai Geisen; Milos Kravcik; Nghia Duong-Trung

    IMPECT-POSE: A Complete Front-end and Back-end Architecture for Pose Tracking and Feedback

    In: UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2024), July 1-4, Cagliari, Italy, Pages 142-147, ISBN 979-8-4007-0466-6, ACM, New York, NY, United States, 6/2024.

  10. Using Large Language Models for Adaptive Dialogue Management in Digital Telephone Assistants

    In: UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2024), July 1-4, Cagliari, Italy, Pages 399-405, ISBN 979-8-4007-0466-6, ACM, New York, NY, United States, 6/2024.

Leitung

Prof. Dr. Niels Pinkwart

Stellvertreterin:
Susan Beudt

Stellvertretung in kaufmännisch-administrativen Fragen:
Michael Dietrich

Kontakt


Tel.: +49 30 23895 0

Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
Educational Technology Lab

Alt-Moabit 91 C
10559 Berlin
Deutschland