Lea Cohausz

24 papers A 2B 5Misc 1Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Causal Graphs and Fairness in Machine Learning: Addressing Practical Challenges in Causal Fairness Evaluation.
J. Artif. Intell. Res.
Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt
2025 — conf
Smart Start: A Critical Analysis of Chatbots as Tools to Support Study Orientation.
DeLFI
Lea Cohausz, Thilo I. Dieing, Belinda Merkle, Marc Scheffler, Stefan Janke
2025 B conf
The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop.
EDM
Vinitra Swamy, Jakub Kuzilek, Juan D. Pinto, Luc Paquette, Tanja Käser, Qianhui Liu, Lea Cohausz
2025 — conf
Where's the F***ing Filter? A Survey on Handling Problematic and Sensitive Questions in Open Educational Chatbots.
AIED (5)
Thilo I. Dieing, Lea Cohausz
2025 — conf
Why the Future of AIED is Causal: Arguments for Creating a Tradition Based on Causal Thinking.
AIED Companion (1)
Lea Cohausz
2024 — conf
Combining Fairness and Causal Graphs to Advance Both.
AEQUITAS@ECAI
Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt
2024 — conf
Developing a Personalized Study Program Recommender.
DELFI Workshops
Marc Scheffler, Thilo I. Dieing, Lea Cohausz
2024 — conf
Enhancing Chatbot-Assisted Study Program Orientation.
DELFI Workshops
Thilo I. Dieing, Marc Scheffler, Lea Cohausz
2024 A conf
Fact Probability Vector Based Goal Recognition.
ECAI
Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt
2024 J jnl
Fact Probability Vector Based Goal Recognition.
CoRR
Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt
2024 B conf
Human-Centric eXplainable AI in Education (HEXED) Workshop.
EDM
Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz
2024 — ed.
Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024.
HEXED/L3MNGET@EDM
Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew S. Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace A. Walkington
2024 — conf
Preface.
HEXED/L3MNGET@EDM
Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz
2024 B conf
Thinking Causally in EDM: A Hands-On Tutorial for Causal Modeling Using DAGs.
EDM
Lea Cohausz
2024 A conf
What Fairness Metrics Can Really Tell You: A Case Study in the Educational Domain.
LAK
Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt
2024 — conf
Workshop Learning Analytics: Study Path and Curriculum Analytics.
DELFI Workshops
Lea Cohausz, Frederik Baucks, Niels Seidel
2023 J jnl
Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition.
CoRR
Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Heiner Stuckenschmidt
2023 B conf
Investigating the Importance of Demographic Features for EDM-Predictions.
EDM
Lea Cohausz, Andrej Tschalzev, Christian Bartelt, Heiner Stuckenschmidt
2023 J jnl
Leveraging Planning Landmarks for Hybrid Online Goal Recognition.
CoRR
Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2023 Misc conf
Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense?
KI
Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt
2023 J jnl
Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense?
CoRR
Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt
2022 — conf
Plan-Similarity Based Heuristics for Goal Recognition.
PerCom Workshops
Lea Cohausz, Nils Wilken, Heiner Stuckenschmidt
2022 J jnl
Predicting Master's students' academic performance: an empirical study in Germany.
Smart Learn. Environ.
Sarah Alturki, Lea Cohausz, Heiner Stuckenschmidt
2022 B conf
Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science.
EDM
Lea Cohausz