Kommunikationsnetze
[SFZT22-1] | Tim Steuer, Anna Filighera, Gianluca Zimmer, Thomas Tregel: What Is Relevant for Learning? Approximating Readers’ Intuition Using Neural Content Selection. In: Artificial Intelligence in Education, p. 505-511, Springer International Publishing, August 2022. |
[FTS+22-1] |
Anna Filighera, Joel Tschesche, Tim Steuer, Thomas Tregel, Lisa Wernet: Towards Generating Counterfactual Examples as Automatic Short Answer Feedback. In: Artificial Intelligence in Education, p. 206--217, Springer International Publishing, August 2022, ISBN 978-3-031-11644-5. |
[SFM+22-1] | Tim Steuer, Anna Filighera, Nina Mouhammad, Gianluca Zimmer, Thomas Tregel: Learning-Relevant Concept Extraction By Utilizing Automatically Generated Textbook Corpora. In: International Conference on Advanced Learning Technologies (ICALT), p. 379-383, July 2022. |
[FBST22-1] |
Anna Filighera, Leonard Bongard, Tim Steuer, Thomas Tregel: Towards A Vocalization Feedback Pipeline for Language Learners. In: 2022 International Conference on Advanced Learning Technologies (ICALT), p. 248-252, IEEE, July 2022. |
[SFT22-1] | Tim Steuer, Anna Filighera, Thomas Tregel: Investigating Educational and Noneducational Answer Selection for Educational Question Generation. In: IEEE Access, June 2022. |
[SFTM22-1] | Tim Steuer, Anna Filighera, Thomas Tregel, André Miede: Educational Automatic Question Generation Improves Reading Comprehension in Non-native Speakers: A Learner-Centric Case Study. In: Frontiers in Artificial Intelligence, June 2022. |
[FPS+22-1] |
Anna Filighera, Siddharth Parihar, Tim Steuer, Tobias Meuser, Sebastian Ochs: Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), p. 8577--8591, Association for Computational Linguistics, May 2022. |
[SFR20-2] |
Tim Steuer, Anna Filighera, Christoph Rensing: Exploring Artificial Jabbering For Automatic Text Comprehension Question Generation. In: European Conference on Technology Enhanced Learning, p. 1--14, Springer International Publishing, September 2020, ISBN 978-3-030-57717-9. |
[FSR20-2] |
Anna Filighera, Tim Steuer, Christoph Rensing: Fooling it - Student Attacks on Automatic Short Answer Grading. In: Addressing Global Challenges and Quality Education, p. 347-352, Springer International Publishing, September 2020, ISBN 978-3-030-57717-9. |
[CF20-1] |
Leon Camus, Anna Filighera: Investigating Transformers for Automatic Short Answer Grading. In: Artificial Intelligence in Education, 21, p. 43-48, Springer International Publishing, July 2020, ISBN 978-3-030-52239-1. |
[FSR20-1] |
Anna Filighera, Tim Steuer, Christoph Rensing: Fooling Automatic Short Answer Grading Systems. In: Artificial Intelligence in Education, 21, p. 177-190, Springer International Publishing, July 2020, ISBN 978-3-030-52237-7. |
[SFR20-1] |
Tim Steuer, Anna Filighera, Christoph Rensing: Remember the facts? Investigating Answer-aware Neural Question Generation for Text Comprehension. In: Artificial Intelligence in Education, 21, p. 512-523, Springer International Publishing, July 2020, ISBN 978-3-030-52237-7. |
[FSR19-1] |
Anna Filighera, Tim Steuer, Christoph Rensing: Automatic Text Difficulty Estimation Using Embeddings and Neural Networks. In: 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, p. 335-348, Springer, September 2019, ISBN 978-3-030-29735-0. |