| 2025 | AIED | Why the Future of AIED is Causal: Arguments for Creating a Tradition Based on Causal Thinking. | Lea Cohausz |
| 2025 | AIED | Where's the F***ing Filter? A Survey on Handling Problematic and Sensitive Questions in Open Educational Chatbots. | Thilo I. Dieing, Lea Cohausz |
| 2025 | EDM | The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop. | Vinitra Swamy, Jakub Kuzilek, Juan D. Pinto, Luc Paquette, Tanja Kser, Qianhui Liu, Lea Cohausz |
| 2024 | ECAI | Fact Probability Vector Based Goal Recognition. | Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt |
| 2024 | EDM | Thinking Causally in EDM: A Hands-On Tutorial for Causal Modeling Using DAGs. | Lea Cohausz |
| 2024 | EDM | Human-Centric eXplainable AI in Education (HEXED) Workshop. | Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Kser, Qianhui Liu, Lea Cohausz |
| 2024 | EDM | Preface. | Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Kser, Qianhui Liu, Lea Cohausz |
| 2024 | LAK | What Fairness Metrics Can Really Tell You: A Case Study in the Educational Domain. | Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt |
| 2023 | EDM | Investigating the Importance of Demographic Features for EDM-Predictions. | Lea Cohausz, Andrej Tschalzev, Christian Bartelt, Heiner Stuckenschmidt |
| 2023 | KI | Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense? | Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt |
| 2022 | EDM | Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science. | Lea Cohausz |
| 2022 | PERCOM | Plan-Similarity Based Heuristics for Goal Recognition. | Lea Cohausz, Nils Wilken, Heiner Stuckenschmidt |