Mixed Reality Learning Systems with Head-Mounted Displays in Higher Education: A Systematic Review
Liu, S.; Toreini, P.; Maedche, A.
2026. Technology, Knowledge and Learning, 31 (2), 1101–1135. doi:10.1007/s10758-025-09912-z

Designing Gaze-Adaptive Immersive Learning Support. PhD dissertation
Liu, S.
2026, April 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000192592

AttentiveLearn: Personalized Post-Lecture Support for Gaze-Aware Immersive Learning
Liu, S.; Feick, M.; Bierhoff, L.; Maedche, A.
2026. CHI ’26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. Ed.: N. Oliver, 1–18, Association for Computing Machinery (ACM). doi:10.1145/3772318.3790667

Designing a mobile chatbot-based learning journaling system for intrinsic motivation and engagement
Scheu, S.; Loeffler, S. N.; Maedche, A.
2026. International Journal of Educational Technology in Higher Education, 23 (1), Art.Nr: 15. doi:10.1186/s41239-026-00589-7

In-context Language Learning for Endangered Languages in Speech Recognition
Li, Z.; Niehues, J.
2025. Interspeech 2025, 738–742. doi:10.21437/Interspeech.2025-2626

Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing
Wambsganss, T.; Benke, I.; Maedche, A.; Koedinger, K.; Käser, T.
2025. International Journal of Artificial Intelligence in Education, 35 (2), 791–822. doi:10.1007/s40593-024-00409-x

Enhance Contextual Learning in ASR for Endangered Low-resource Languages
Li, Z.; Niehues, J.
2025. Proceedings of the 1st Workshop on Language Models for Underserved Communities (LM4UC 2025), 1–7, Association for Computational Linguistics (ACL)

AF-Mix: A gaze-aware learning system with attention feedback in mixed reality
Liu, S.; Toreini, P.; Maedche, A.
2025. International Journal of Human-Computer Studies, 198, Art.-Nr.: 103467. doi:10.1016/j.ijhcs.2025.103467

Designing Mobile Assistants for Students’ Self-Regulated Learning and Mental Health. PhD dissertation
Scheu, S. H.
2025, March 25. Karlsruher Institut für Technologie (KIT)

Contrastive Learning for Task-Independent SpeechLLM-Pretraining
Züfle, M.; Niehues, J.
2025. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025). Ed.: W. Che, 8469–8490, Association for Computational Linguistics (ACL). doi:10.18653/v1/2025.findings-acl.445

GazeClass: Towards Gaze-Adaptive Cross-Device Learning Support for Virtual Classrooms
Liu, S.; Mädche, A.; Feick, M.
2025. CHI EA ’25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Ed.: N. Yamashita, Article No.: 299, Association for Computing Machinery (ACM). doi:10.1145/3706599.3720232

Cognitive state detection with eye tracking in the field: an experience sampling study and its lessons learned
Langner, M.; Toreini, P.; Maedche, A.
2024. i-com, 23 (1), 109–129. doi:10.1515/icom-2023-0035

Cognitive State Detection with Eye Tracking in the Field: An Experience Sampling Study and its Lessons Learned - Dataset & Analysis Script
Langner, M.; Toreini, P.; Maedche, A.
2024, March 25. doi:10.35097/cLnVJaqFEUOYeFzh

Incremental learning of humanoid robot behavior from natural interaction and large language models
Bärmann, L.; Kartmann, R.; Peller-Konrad, F.; Niehues, J.; Waibel, A.; Asfour, T.
2024. Frontiers in Robotics and AI, 11, Art.-Nr.: 1455375. doi:10.3389/frobt.2024.1455375

An Immersive Learning Factory for AI & Data Literacy: An Exploratory Study in the Wild
Liu, S.; Schulz, T.; Toreini, P.; Mädche, A.
2023. Mensch und Computer 2023, 349–353, Association for Computing Machinery (ACM). doi:10.1145/3603555.3608564

Towards continually learning new languages
Pham, N. Q.; Niehues, J.; Waibel, A.
2023. INTERSPEECH 2023, Dublin, 20th-24th August 2023, 3262–3266, International Society for Computers and Their Applications (ISCA)

AI and Literacy for Non-Technical Students: A Hybrid-Augmented Learning Factory
Liu, S.; Schulz, T.; Toreini, P.; Peukert, C.; Maedche, A.; Weinhardt, C.
2023, April 28. Conference on Human Factors in Computing Systems (CHI 2023), Hamburg, Germany, April 23–28, 2023

Towards continually learning new languages
Pham, Q.; Niehues, J.; Waibel, A.
2023. Proc. INTERSPEECH 2023, 3262–3266, ISCA. doi:10.21437/Interspeech.2023-1867

An Immersive ’Proto Learning Factory’ Concept for Teaching AI Competencies
Schulz, T.; Liu, S.; Peukert, C.; Toreini, P.; Maedche, A.; Weinhardt, C.
2023. SSRN Electronic Journal. doi:10.2139/ssrn.4470430

Learning an Artificial Language for Knowledge-Sharing in Multilingual Translation
Liu, D.; Niehues, J.
2022. 7th Conference on Machine Translation (WMT 2022), Abu Dhabi, 7 -8. December 2022, Association for Computational Linguistics (ACL)

Learning an Artificial Language for Knowledge-Sharing in Multilingual Translation
Liu, D.; Niehues, J.
2022. arxiv. doi:10.48550/arXiv.2211.01292

Emotion-Adaptive Learning Systems for Transferrable Skill Learning
Zahn, E.; Benke, I.; Soellner, M.; Mädche, A.
2022. Proceedings of the 2022 AIS SIGED International Conference on Information Systems Education and Research, 175–179, Association for Information Systems (AIS)

Emotion Adaptive Learning Systems for Transferrable Skill Learning
Zahn, E.; Benke, I.; Soellner, M.; Mädche, A.
2022. Proceedings of the 2022 AIS SIGED International Conference on Information Systems Education and Research

Designing Gaze-Aware Attention Feedback for Learning in Mixed Reality
Liu, S.; Toreini, P.; Maedche, A.
2022. Pfleging, B., Gerling, K. & Mayer, S. (Hrsg.), Mensch und Computer 2022 - Tagungsband, 495–500, Association for Computing Machinery (ACM). doi:10.1145/3543758.3547565

Towards a Physiological Computing Infrastructure for Researching Students’ Flow in Remote Learning – Preliminary Results from a Field Study
Li, M. X.; Nadj, M.; Maedche, A.; Ifenthaler, D.; Wöhler, J.
2022. Technology, knowledge and learning, 27, 365–384. doi:10.1007/s10758-021-09569-4

Continuous Learning in Neural Machine Translation using Bilingual Dictionaries
Niehues, J.
2021. The 16th Conference of the European Chapter of the Association for Computational Linguistics - proceedings of the conference : April 19-23, 2021 : EACL 2021. Ed.: P. Merlo, 830–840, Association for Computational Linguistics (ACL)

An Interactive Machine Learning System for Image Advertisements
Foerste, M.; Nadj, M.; Knaeble, M.; Maedche, A.; Gehrmann, L.; Stahl, F.
2021. Mensch und Computer 2021 (MuC ’21), Ingolstadt, 5.-8.9.2021, 574–577, Association for Computing Machinery (ACM). doi:10.1145/3473856.3474027

Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning
Knaeble, M.; Nadj, M.; Maedche, A.
2020. 15. Internationale Tagung Wirtschaftsinformatik (WI 2020), Potsdam, 9 - 11 März 2020, 2–16, GITO Verlag. doi:10.30844/wi_2020_a1-knaeble

To Be or Not to Be in Flow at Work: Physiological Classification of Flow using Machine Learning
Rissler, R.; Nadj, M.; Li, M. X.; Loewe, N.; Knierim, M. T.; Maedche, A.
2020. IEEE transactions on affective computing, 14 (1), 463–474. doi:10.1109/TAFFC.2020.3045269

Towards the Design of an Interactive Machine Learning System for Qualitative Coding
Rietz, T.; Maedche, A.
2020. International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global, India, December 13-16, 2020. Ed.: Joey George, Paper 1830, AIS eLibrary (AISeL)

Cody: An Interactive Machine Learning System for Qualitative Coding
Rietz, T.; Toreini, P.; Maedche, A.
2020. ACM Symposium on User Interface Software and Technology (UIST 2020), Online, October 20–23, 2020. doi:10.1145/3379350.3416195

Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning
Nadj, M.; Knaeble, M.; Li, M. X.; Maedche, A.
2020. Künstliche Intelligenz, 34, 131–142. doi:10.1007/s13218-020-00634-1

Multi-task learning to improve natural language understanding
Constantin, S.; Niehues, J.; Waibel, A.
2019. Proceedings of the International Workshop Series on Spoken Dialogue System Technology (IWSDS 2019)

Flow at work: examination of IT-mediated interruptions and physiological classification with machine learning. PhD dissertation
Rißler, R.
2019. Karlsruher Institut für Technologie (KIT)

Towards an Integrative Theoretical Framework of Interactive Machine Learning Systems
Meza Martínez, M. A.; Nadj, M.; Maedche, A.
2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Paper: 172, AIS eLibrary (AISeL)

Towards one-shot learning for rare-word translation with external experts
Pham, N.-Q.; Niehues, J.; Waibel, A.
2018. Neural Machine Translation and Generation : Proceedings of the 2nd Workshop, July 20, 2018, Melbourne, Australia. Ed.: A. Alexandra, 100–109, Association for Computational Linguistics (ACL). doi:10.18653/v1/W18-2712

KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning
Dessloch, F.; Ha, T.-L.; Müller, M.; Niehues, J.; Nguyen, T.-S.; Pham, N.-Q.; Salesky, E.; Sperber, M.; Stüker, S.; Zenkel, T.; Waibel, A.
2018. The 27th International Conference on Computational Linguistics : proceedings of System Demonstrations, August 20-26, 2018, Santa Fe, New Mexico, USA, COLING 2018. Ed.: D. Zhao, 89–93, Association for Computational Linguistics (ACL)

Got Flow? Using Machine Learning on Physiological Data to Classify Flow
Rissler, R.; Nadj, M.; Li, M. X.; Knierim, M. T.; Maedche, A.
2018. Proceedings of the Conference on Human Factors in Computing Systems (CHI), Montréal, Canada, 21st - 26th April 2018, Art.Nr. LBW612, Association for Computing Machinery (ACM). doi:10.1145/3170427.3188480

Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning
Niehues, J.; Cho, E.
2017. WMT 2017 Second Conference on Machine Translation : Proceedings, September 7-8, 2017, Copenhagen, Denmark. Ed.: O. Bojar, 80–89, Association for Computational Linguistics (ACL). doi:10.18653/v1/W17-4708

The Effect of Learning on the Effective Use of Enterprise Systems
Gnewuch, U.; Haake, P.; Mueller, B.; Maedche, A.
2016. Proceedings of the International Conference on Information Systems (ICIS) 2016, December 11-14, 2016, Dublin

Discovery of Lexical Entries for Non-taxonomic Relations in Ontology Learning
Kavalec, M.; Mädche, A.; Svátek, V.
2004. 30th Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM), Měřín, Czech Republic, 24th - 30th January 2004. Ed.: P. Emde Boas, 249–256, Springer-Verlag. doi:10.1007/978-3-540-24618-3_21

Ontology learning
Maedche, A.; Staab, S.
2004. Handbook on ontologies. Ed.: S. Staab, Springer-Verlag

Ontology Learning Part One - On Discoverying Taxonomic Relations from the Web
Maedche, A.; Pekar, V.; Staab, S.
2003. Web Intelligence. Ed.: Ning Zhong, 301–320, Springer-Verlag

Ontology Learning Part One : On Discoverying Taxonomic Relations from the Web
Mädche, A.; Pekar, V.; Staab, S.
2003. Web Intelligence. Ed.: N. Zhong, 301–319, Springer-Verlag. doi:10.1007/978-3-662-05320-1_14

Ontology learning part one - on discovering taxonomic relations from the web
Maedche, A.; Pekar, V.; Staab, S.
2003. In: Web intelligence. Ed.: N. Zhong. Berlin 2003. S. 301-319

Ontology learning for the semantic web. PhD dissertation
Maedche, A.
2002. Boston

Learning ontologies for the semantic web
Maedche, A.; Staab, S.
2001. In: Semantic Web 2001 at WWW10

Ontology learning from text
Mädche, A.; Staab, S.
2001. Natural Language Processing and Information Systems. 5th International Conference on Applications of Natural Language to Information Systems (NLDB), Versailles, France, June 28-30, 2000. Ed.: M. Bouzeghoub, 364, Springer-Verlag. doi:10.1007/3-540-45399-7

Ontology learning for the semantic web
Maedche, A.; Staab, S.
2001. IEEE Intelligent Systems and Their Applications (M-ISTA), 16 (2), 72–79

ECAI’2000 Workshop on Ontology Learning, Proceedings of the First Workshop on Ontology Learning OL’2000, Berlin, Germany, August 25, 2000. Held in conjunction with the 14th European Conference on Artificial Intelligence ECAI’2000, Berlin, Germany
Staab, S.; Maedche, A.; Nedellec, C.; Wiemer-Hastings, P. (Eds.)
2000. RWTH Aachen

Proceedings of the 1st ECAI Workshop on Ontology Learning, OL 2000, Berlin, 25.08.2000
Staab, S.; Maedche, A.; Nedellec, C.; Wiemer-Hastings, P. (Eds.)
2000. 2000