| 2026 | ACL | Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks. | Jin Zhao, Marta Knezevic, Tanja Kser |
| 2026 | AIED | REFINE: Real-World Exploration of Interactive Feedback and Student Behaviour. | Fares Fawzi, Seyed Parsa Neshaei, Marta Knezevic, Tanya Nazaretsky, Tanja Kser |
| 2026 | AIED | Scalable and Explainable Learner-Video Interaction Prediction Using Multimodal Large Language Models. | Dominik Glandorf, Fares Fawzi, Tanja Kser |
| 2026 | AIED | Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection. | Seyed Parsa Neshaei, Richard Lee Davis, Tanja Kser |
| 2026 | AIED | Towards Real-Time Personalized Feedback in Open-Ended Learning Environments. | Ethan Prihar, Hugues Saltini, Peter Bhlmann, Tanja Kser |
| 2026 | AIED | Teaching Multivariational Reasoning Through AI-Guided Inquiry in Interactive Simulations. | Ekaterina Shved, Engin Bumbacher, Seyed Parsa Neshaei, Tanja Kser |
| 2026 | LAK | Structuring versus Problematizing: How LLM-based Agents Scaffold Learning in Diagnostic Reasoning. | Fatma Betl Gres, Tanya Nazaretsky, Seyed Parsa Neshaei, Tanja Kser |
| 2025 | AAAI | iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback. | Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Kser |
| 2025 | AIED | One Code to Predict Them All: Universal Encoding for Inquiry Modeling. | Jade Ma Cock, Valentine Delevaux, Ido Roll, Richard Lee Davis, Tanja Kser |
| 2025 | AIED | Towards A Student-Facing Dashboard to Support Learning of Inquiry Competencies in Interactive Simulations. | Eman Ganaiem, Tanja Kser, Ido Roll |
| 2025 | AIED | How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning. | Fatma Betl Gres, Tanya Nazaretsky, Bahar Radmehr, Martina A. Rau, Tanja Kser |
| 2025 | AIED | Leveraging Knowledge Profiles and Generative AI for Realistic Student Response Generation. | Eyll Ipi, Tanya Nazaretsky, Tanja Kser |
| 2025 | AIED | Workshop on Advancements in AI-Supported Exploratory Learning (AI4EL). | Manolis Mavrikis, Sbastien Lall, Roger Azevedo, Gautam Biswas, Jade Ma Cock, Cristina Conati, Sokratis Karkalas, Tanja Kser, James C. Lester, Ido Roll, Janan Saba, Megan Wiedbusch |
| 2025 | AIED | ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs. | Bahar Radmehr, Ekaterina Shved, Fatma Betl Gres, Adish Singla, Tanja Kser |
| 2025 | CHI | SketchAI: A "Sketch-First" Approach to Incorporating Generative AI into Fashion Design. | Richard Lee Davis, Kevin Fred Mwaita, Livia Mller, Daniel C. Tozadore, Aleksandra Novikova, Tanja Kser, Thiemo Wambsganss |
| 2025 | CHI | "Piecing Data Connections Together Like a Puzzle": Effects of Increasing Task Complexity on the Effectiveness of Data Storytelling Enhanced Visualisations. | Mikaela Elizabeth Milesi, Paola Mejia-Domenzain, Laura Brandl, Vanessa Echeverra, Yueqiao Jin, Dragan Gasevic, Yi-Shan Tsai, Tanja Kser, Roberto Martnez-Maldonado |
| 2025 | CHI | User-centric Reflective Writing Assistance: Leveraging RAG for Enhanced Personalized Support. | Seyed Parsa Neshaei, Matea Tashkovska, Paola Mejia-Domenzain, Thiemo Wambsganss, Tanja Kser |
| 2025 | CHI | MindMate: Exploring the Effect of Conversational Agents on Reflective Writing. | Seyed Parsa Neshaei, Thiemo Wambsganss, Hind El Bouchrifi, Tanja Kser |
| 2025 | EDM | Applying DebiasEd: A Package for Mitigating Unfairness in Educational Data. | Jade Cock, Frank Stinar, Ren F. Kizilcec, Tanja Kser |
| 2025 | EDM | Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification. | Seyed Parsa Neshaei, Richard Lee Davis, Paola Mejia-Domenzain, Tanya Nazaretsky, Tanja Kser |
| 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 |
| 2025 | EMNLP | SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling. | Fares Fawzi, Vinitra Swamy, Dominik Glandorf, Tanya Nazaretsky, Tanja Kser |
| 2025 | ICLR | Intrinsic User-Centric Interpretability through Global Mixture of Experts. | Vinitra Swamy, Syrielle Montariol, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Kser |
| 2025 | LAK | TeamTeachingViz: Benefits, Challenges, and Ethical Considerations of Using a Multimodal Analytics Dashboard to Support Team Teaching Reflection. | Riordan Alfredo, Paola Mejia-Domenzain, Vanessa Echeverra, Dwi Rahayu, Linxuan Zhao, Haya Alajlan, Zachari Swiecki, Tanja Kser, Dragan Gasevic, Roberto Martnez-Maldonado |
| 2025 | LAK | The Effect of Different Support Strategies on Student Affect. | Julie Le Tallec, Ethan Prihar, Tanja Kser |
| 2024 | AIED | Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities. | Paola Mejia-Domenzain, Tanya Nazaretsky, Simon Schultze, Jan Hochweber, Tanja Kser |
| 2024 | AIED | An Interpretable Approach to Identify Performance Indicators Within Unstructured Learning Environments. | Ethan Prihar, Bahar Radmehr, Tanja Kser |
| 2024 | AIED | Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. | Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Kser |
| 2024 | AIED | Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations. | Ekaterina Shved, Engin Bumbacher, Paola Mejia-Domenzain, Manu Kapur, Tanja Kser |
| 2024 | CHI | Fashioning Creative Expertise with Generative AI: Graphical Interfaces for Design Space Exploration Better Support Ideation Than Text Prompts. | Richard Lee Davis, Thiemo Wambsganss, Wei Jiang, Kevin Gonyop Kim, Tanja Kser, Pierre Dillenbourg |
| 2024 | CHI | GELEX: Generative AI-Hybrid System for Example-Based Learning. | Aybars Yazici, Paola Mejia-Domenzain, Jibril Frej, Tanja Kser |
| 2024 | EDM | Investigation of behavioral Differences: Uncovering Behavioral Sources of Demographic Bias in Educational Algorithms. | Jade Ma Cock, Hugues Saltini, Haoyu Sheng, Riya Ranjan, Richard Lee Davis, Tanja Kser |
| 2024 | EDM | Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning. | Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Kser |
| 2024 | EDM | Leveraging Large Language Models for Next-Generation Educational Technologies. | Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace A. Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Kser, Eamon Worden |
| 2024 | EDM | Towards Modeling Learner Performance with Large Language Models. | Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Kser |
| 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 | EDM | Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. | Bahar Radmehr, Adish Singla, Tanja Kser |
| 2024 | EMNLP | Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. | Beatriz Borges, Niket Tandon, Tanja Kser, Antoine Bosselut |
| 2024 | LAK | Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. | Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Kser |
| 2024 | SIGIR | Course Recommender Systems Need to Consider the Job Market. | Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Kser |
| 2023 | AAAI | Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. | Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Kser |
| 2023 | AIED | Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains. | Jade Ma Cock, Ido Roll, Tanja Kser |
| 2023 | AIED | Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers. | Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Kser |
| 2023 | CHI | Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration. | Richard Lee Davis, Thiemo Wambsganss, Wei Jiang, Kevin Gonyop Kim, Tanja Kser, Pierre Dillenbourg |
| 2023 | EDM | Understanding Revision Behavior in Adaptive Writing Support Systems for Education. | Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Kser |
| 2023 | EMNLP | Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. | Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Kser |
| 2023 | LAK | Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. | Jade Ma Cock, Muhammad Bilal, Richard Lee Davis, Mirko Marras, Tanja Kser |
| 2023 | LAK | Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. | Roberta Galici, Tanja Kser, Gianni Fenu, Mirko Marras |
| 2023 | LAK | Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. | Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Kser |
| 2022 | AIED | Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms. | Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Kser |
| 2022 | COLING | Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. | Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Kser |
| 2022 | EDM | Generalisable Methods for Early Prediction in Interactive Simulations for Education. | Jade Ma Cock, Mirko Marras, Christian Giang, Tanja Kser |
| 2022 | EDM | Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. | Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Kser |
| 2021 | EDM | Early Prediction of Conceptual Understanding in Interactive Simulations. | Jade Cock, Mirko Marras, Christian Giang, Tanja Kser |
| 2021 | EDM | Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses. | Mirko Marras, Julien Tuan Tu Vignoud, Tanja Kser |
| 2021 | WSDM | L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web. | Danilo Dess, Tanja Kser, Mirko Marras, Elvira Popescu, Harald Sack |
| 2021 | WSDM | Designing Intelligent Systems for Online Education: Open Challenges and Future Directions. | Danilo Dess, Tanja Kser, Mirko Marras, Elvira Popescu, Harald Sack |
| 2019 | EDM | Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments. | Tanja Kser, Daniel L. Schwartz |
| 2017 | EDM | Efficient Feature Embeddings for Student Classification with Variational Auto-encoders. | Severin Klingler, Rafael Wampfler, Tanja Kser, Barbara Solenthaler, Markus H. Gross |
| 2017 | LAK | Modeling exploration strategies to predict student performance within a learning environment and beyond. | Tanja Kser, Nicole R. Hallinen, Daniel L. Schwartz |
| 2016 | EDM | Temporally Coherent Clustering of Student Data. | Severin Klingler, Tanja Kser, Barbara Solenthaler, Markus H. Gross |
| 2016 | ITS | Stealth Assessment in ITS - A Study for Developmental Dyscalculia. | Severin Klingler, Tanja Kser, Alberto Giovanni Busetto, Barbara Solenthaler, Juliane Kohn, Michael von Aster, Markus H. Gross |
| 2016 | LAK | When to stop?: towards universal instructional policies. | Tanja Kser, Severin Klingler, Markus H. Gross |
| 2015 | EDM | On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models. | Severin Klingler, Tanja Kser, Barbara Solenthaler, Markus H. Gross |
| 2014 | AISTATS | Computational Education using Latent Structured Prediction. | Tanja Kser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross |
| 2014 | EDM | Different parameters - same prediction: An analysis of learning curves. | Tanja Kser, Kenneth R. Koedinger, Markus H. Gross |
| 2014 | ITS | Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks. | Tanja Kser, Severin Klingler, Alexander G. Schwing, Markus H. Gross |
| 2013 | AIED | Cluster-Based Prediction of Mathematical Learning Patterns. | Tanja Kser, Alberto Giovanni Busetto, Barbara Solenthaler, Juliane Kohn, Michael von Aster, Markus H. Gross |
| 2012 | ITS | Modelling and Optimizing the Process of Learning Mathematics. | Tanja Kser, Alberto Giovanni Busetto, Gian-Marco Baschera, Juliane Kohn, Karin Kucian, Michael von Aster, Markus H. Gross |