Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science. - Lea Cohausz (EDM, 2022)

Plan-Similarity Based Heuristics for Goal Recognition. - Lea Cohausz; Nils Wilken; Heiner Stuckenschmidt (PerCom Workshops, 2022)

Predicting Master's students' academic performance: an empirical study in Germany. - Sarah Alturki; Lea Cohausz; Heiner Stuckenschmidt (Smart Learn. Environ., 2022)

Investigating the Importance of Demographic Features for EDM-Predictions. - Lea Cohausz; Andrej Tschalzev; Christian Bartelt; Heiner Stuckenschmidt (EDM, 2023)

Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense? - Nils Wilken; Lea Cohausz; Christian Bartelt; Heiner Stuckenschmidt (KI, 2023)

Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition. - Nils Wilken; Lea Cohausz; Johannes Schaum; Stefan Lüdtke; Heiner Stuckenschmidt (CoRR, 2023)

Leveraging Planning Landmarks for Hybrid Online Goal Recognition. - Nils Wilken; Lea Cohausz; Johannes Schaum; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (CoRR, 2023)

Combining Fairness and Causal Graphs to Advance Both. - Lea Cohausz; Jakob Kappenberger; Heiner Stuckenschmidt (AEQUITAS@ECAI, 2024)

Workshop Learning Analytics: Study Path and Curriculum Analytics. - Lea Cohausz; Frederik Baucks; Niels Seidel (DELFI Workshops, 2024)

Enhancing Chatbot-Assisted Study Program Orientation. - Thilo I. Dieing; Marc Scheffler; Lea Cohausz (DELFI Workshops, 2024)

Developing a Personalized Study Program Recommender. - Marc Scheffler; Thilo I. Dieing; Lea Cohausz (DELFI Workshops, 2024)

Fact Probability Vector Based Goal Recognition. - Nils Wilken; Lea Cohausz; Christian Bartelt; Heiner Stuckenschmidt (ECAI, 2024)

Thinking Causally in EDM: A Hands-On Tutorial for Causal Modeling Using DAGs. - Lea Cohausz (EDM, 2024)

Human-Centric eXplainable AI in Education (HEXED) Workshop. - Juan D. Pinto; Luc Paquette; Vinitra Swamy; Tanja Käser; Qianhui Liu; Lea Cohausz (EDM, 2024)

Preface. - Juan D. Pinto; Luc Paquette; Vinitra Swamy; Tanja Käser; Qianhui Liu; Lea Cohausz (HEXED/L3MNGET@EDM, 2024)

What Fairness Metrics Can Really Tell You: A Case Study in the Educational Domain. - Lea Cohausz; Jakob Kappenberger; Heiner Stuckenschmidt (LAK, 2024)

Where's the F***ing Filter? A Survey on Handling Problematic and Sensitive Questions in Open Educational Chatbots. - Thilo I. Dieing; Lea Cohausz (AIED (5), 2025)

Smart Start: A Critical Analysis of Chatbots as Tools to Support Study Orientation. - Lea Cohausz; Thilo I. Dieing; Belinda Merkle; Marc Scheffler; Stefan Janke (DeLFI, 2025)

The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop. - Vinitra Swamy; Jakub Kuzilek; Juan D. Pinto; Luc Paquette; Tanja Käser; Qianhui Liu; Lea Cohausz (EDM, 2025)