Modelling and Optimizing the Process of Learning Mathematics. - Tanja Käser; Alberto Giovanni Busetto; Gian-Marco Baschera; Juliane Kohn; Karin Kucian; Michael von Aster; Markus H. Gross (ITS, 2012)

Cluster-Based Prediction of Mathematical Learning Patterns. - Tanja Käser; Alberto Giovanni Busetto; Barbara Solenthaler; Juliane Kohn; Michael von Aster; Markus H. Gross (AIED, 2013)

Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains. - Tanja Käser; Gian-Marco Baschera; Alberto Giovanni Busetto; Severin Klingler; Barbara Solenthaler; Joachim M. Buhmann; Markus H. Gross (Int. J. Artif. Intell. Educ., 2013)

Modelling and Optimizing Mathematics Learning in Children. - Tanja Käser; Alberto Giovanni Busetto; Barbara Solenthaler; Gian-Marco Baschera; Juliane Kohn; Karin Kucian; Michael von Aster; Markus H. Gross (Int. J. Artif. Intell. Educ., 2013)

Computational Education using Latent Structured Prediction. - Tanja Käser; Alexander G. Schwing; Tamir Hazan; Markus H. Gross (AISTATS, 2014)

Different parameters - same prediction: An analysis of learning curves. - Tanja Käser; Kenneth R. Koedinger; Markus H. Gross (EDM, 2014)

Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks. - Tanja Käser; Severin Klingler; Alexander G. Schwing; Markus H. Gross (Intelligent Tutoring Systems, 2014)

Modeling and Optimizing Computer-Assisted Mathematics Learning in Children. - Tanja Käser (2014)

On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models. - Severin Klingler; Tanja Käser; Barbara Solenthaler; Markus H. Gross (EDM, 2015)

Temporally Coherent Clustering of Student Data. - Severin Klingler; Tanja Käser; Barbara Solenthaler; Markus H. Gross (EDM, 2016)

Stealth Assessment in ITS - A Study for Developmental Dyscalculia. - Severin Klingler; Tanja Käser; Alberto Giovanni Busetto; Barbara Solenthaler; Juliane Kohn; Michael von Aster; Markus H. Gross (ITS, 2016)

When to stop?: towards universal instructional policies. - Tanja Käser; Severin Klingler; Markus H. Gross (LAK, 2016)

Efficient Feature Embeddings for Student Classification with Variational Auto-encoders. - Severin Klingler; Rafael Wampfler; Tanja Käser; Barbara Solenthaler; Markus H. Gross (EDM, 2017)

Modeling exploration strategies to predict student performance within a learning environment and beyond. - Tanja Käser; Nicole R. Hallinen; Daniel L. Schwartz 001 (LAK, 2017)

Dynamic Bayesian Networks for Student Modeling. - Tanja Käser; Severin Klingler; Alexander G. Schwing; Markus H. Gross (IEEE Trans. Learn. Technol., 2017)

Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics. - Barbara Solenthaler; Severin Klingler; Tanja Käser; Markus H. Gross (CoRR, 2018)

Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments. - Tanja Käser; Daniel L. Schwartz 001 (EDM, 2019)

Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments. - Tanja Käser; Daniel L. Schwartz 001 (Int. J. Artif. Intell. Educ., 2020)

Early Prediction of Conceptual Understanding in Interactive Simulations. - Jade Cock; Mirko Marras; Christian Giang; Tanja Käser (EDM, 2021)

Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses. - Mirko Marras; Julien Tuan Tu Vignoud; Tanja Käser (EDM, 2021)

L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web. - Danilo Dessì; Tanja Käser; Mirko Marras; Elvira Popescu; Harald Sack (WSDM, 2021)

Designing Intelligent Systems for Online Education: Open Challenges and Future Directions. - Danilo Dessì; Tanja Käser; Mirko Marras; Elvira Popescu; Harald Sack (L2D@WSDM, 2021)

Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms. - Paola Mejia-Domenzain; Mirko Marras; Christian Giang; Tanja Käser (AIED (1), 2022)

Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. - Thiemo Wambsganss; Vinitra Swamy; Roman Rietsche; Tanja Käser (COLING, 2022)

Generalisable Methods for Early Prediction in Interactive Simulations for Education. - Jade Maï Cock; Mirko Marras; Christian Giang; Tanja Käser (EDM, 2022)

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. - Vinitra Swamy; Bahar Radmehr; Natasa Krco; Mirko Marras; Tanja Käser (EDM, 2022)

Meta Transfer Learning for Early Success Prediction in MOOCs. - Vinitra Swamy; Mirko Marras; Tanja Käser (L@S, 2022)

Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging. - Thiemo Wambsganss; Andreas Janson; Tanja Käser; Jan Marco Leimeister (Proc. ACM Hum. Comput. Interact., 2022)

Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations. - Thiemo Wambsganss; Naim Zierau; Matthias Söllner 001; Tanja Käser; Kenneth R. Koedinger; Jan Marco Leimeister (Proc. ACM Hum. Comput. Interact., 2022)

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals. - Paola Mejia-Domenzain; Mirko Marras; Christian Giang; Alberto A. P. Cattaneo; Tanja Käser (IEEE Trans. Learn. Technol., 2022)

Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. - Mohammad Asadi; Vinitra Swamy; Jibril Frej; Julien Tuan Tu Vignoud; Mirko Marras; Tanja Käser (AAAI, 2023)

Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains. - Jade Maï Cock; Ido Roll; Tanja Käser (AIED (Posters/Late Breaking Results/...), 2023)

Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers. - Paola Mejia-Domenzain; Eva Laini; Seyed Parsa Neshaei; Thiemo Wambsganss; Tanja Käser (AIED (Posters/Late Breaking Results/...), 2023)

Reviewriter: AI-Generated Instructions For Peer Review Writing. - Xiaotian Su; Thiemo Wambsganss; Roman Rietsche; Seyed Parsa Neshaei; Tanja Käser (BEA@ACL, 2023)

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 Käser; Pierre Dillenbourg (CHI Extended Abstracts, 2023)

Understanding Revision Behavior in Adaptive Writing Support Systems for Education. - Luca Mouchel; Thiemo Wambsganss; Paola Mejia-Domenzain; Tanja Käser (EDM, 2023)

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 Käser (EMNLP (Findings), 2023)

Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. - Jade Maï Cock; Muhammad Bilal; Richard Davis; Mirko Marras; Tanja Käser (LAK, 2023)

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 Käser; Gianni Fenu; Mirko Marras (LAK, 2023)

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. - Vinitra Swamy; Sijia Du; Mirko Marras; Tanja Käser (LAK, 2023)

MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks. - Vinitra Swamy; Malika Satayeva; Jibril Frej; Thierry Bossy; Thijs Vogels; Martin Jaggi; Tanja Käser; Mary-Anne Hartley (NeurIPS, 2023)

How Close are Predictive Models to Teachers in Detecting Learners at Risk? - Roberta Galici; Tanja Käser; Gianni Fenu; Mirko Marras (UMAP, 2023)

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations. - Vinitra Swamy; Jibril Frej; Tanja Käser (CoRR, 2023)

A systematic review of empirical studies using log data from open-ended learning environments to measure science and engineering practices. - Karen D. Wang; Jade Maï Cock; Tanja Käser; Engin Bumbacher (Br. J. Educ. Technol., 2023)

Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities. - Paola Mejia-Domenzain; Tanya Nazaretsky; Simon Schultze; Jan Hochweber; Tanja Käser (AIED (2), 2024)

An Interpretable Approach to Identify Performance Indicators Within Unstructured Learning Environments. - Ethan Prihar; Bahar Radmehr; Tanja Käser (AIED Companion (1), 2024)

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. - Isadora Salles; Paola Mejia-Domenzain; Vinitra Swamy; Julian Blackwell; Tanja Käser (AIED Companion (1), 2024)

Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations. - Ekaterina Shved; Engin Bumbacher; Paola Mejia-Domenzain; Manu Kapur; Tanja Käser (AIED (1), 2024)

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 Käser; Pierre Dillenbourg (CHI, 2024)

GELEX: Generative AI-Hybrid System for Example-Based Learning. - Aybars Yazici; Paola Mejia-Domenzain; Jibril Frej; Tanja Käser (CHI Extended Abstracts, 2024)

AI or Human? Evaluating Student Feedback Perceptions in Higher Education. - Tanya Nazaretsky; Paola Mejia-Domenzain; Vinitra Swamy; Jibril Frej; Tanja Käser (EC-TEL (1), 2024)

Investigation of behavioral Differences: Uncovering Behavioral Sources of Demographic Bias in Educational Algorithms. - Jade Maï Cock; Hugues Saltini; Haoyu Sheng; Riya Ranjan; Richard Davis; Tanja Käser (EDM, 2024)

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 Käser (EDM, 2024)

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; et al. (EDM, 2024)

Towards Modeling Learner Performance with Large Language Models. - Seyed Parsa Neshaei; Richard Lee Davis; Adam Hazimeh; Bojan Lazarevski; Pierre Dillenbourg; Tanja Käser (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)

Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. - Bahar Radmehr; Adish Singla; Tanja Käser (EDM, 2024)

Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. - Beatriz Borges; Niket Tandon; Tanja Käser; Antoine Bosselut (EMNLP, 2024)

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. - Jibril Frej; Neel Shah; Marta Knezevic; Tanya Nazaretsky; Tanja Käser (LAK, 2024)

Course Recommender Systems Need to Consider the Job Market. - Jibril Frej; Anna Dai; Syrielle Montariol; Antoine Bosselut; Tanja Käser (SIGIR, 2024)

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. - Paul Denny 001; Sumit Gulwani; Neil T. Heffernan; Tanja Käser; Steven Moore; Anna N. Rafferty; Adish Singla (CoRR, 2024)

InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks. - Vinitra Swamy; Julian Blackwell; Jibril Frej; Martin Jaggi; Tanja Käser (CoRR, 2024)

Graph Reasoning for Explainable Cold Start Recommendation. - Jibril Frej; Marta Knezevic; Tanja Käser (CoRR, 2024)

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. - Beatriz Borges; Negar Foroutan; Deniz Bayazit; Anna Sotnikova; Syrielle Montariol; Tanya Nazaretzky; Mohammadreza Banaei; Alireza Sakhaeirad; Philippe Servant; Seyed Parsa Neshaei; Jibril Frej; Angelika Romanou; et al. (CoRR, 2024)

Enhancing Critical Thinking in Education by means of a Socratic Chatbot. - Lucile Favero; Juan Antonio Pérez-Ortiz; Tanja Käser; Nuria Oliver (CoRR, 2024)

From Explanations to Action: A Zero-Shot, Theory-Driven LLM Framework for Student Performance Feedback. - Vinitra Swamy; Davide Romano; Bhargav Srinivasa Desikan; Oana-Maria Camburu; Tanja Käser (CoRR, 2024)

Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test. - Tanja Käser; Giora Alexandron (Int. J. Artif. Intell. Educ., 2024)

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 Käser (AAAI, 2025)

One Code to Predict Them All: Universal Encoding for Inquiry Modeling. - Jade Maï Cock; Valentine Delevaux; Ido Roll; Richard Lee Davis; Tanja Käser (AIED (5), 2025)

Towards A Student-Facing Dashboard to Support Learning of Inquiry Competencies in Interactive Simulations. - Eman Ganaiem; Tanja Käser; Ido Roll (AIED (5), 2025)

How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning. - Fatma Betül Güres; Tanya Nazaretsky; Bahar Radmehr; Martina A. Rau; Tanja Käser (AIED (6), 2025)

SketchAI: A "Sketch-First" Approach to Incorporating Generative AI into Fashion Design. - Richard Lee Davis; Kevin Fred Mwaita; Livia Müller; Daniel C. Tozadore; Aleksandra Novikova; Tanja Käser; Thiemo Wambsganss (CHI Extended Abstracts, 2025)

"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 Echeverría; Yueqiao Jin; Dragan Gasevic; Yi-Shan Tsai; Tanja Käser; Roberto Martínez-Maldonado (CHI, 2025)

User-centric Reflective Writing Assistance: Leveraging RAG for Enhanced Personalized Support. - Seyed Parsa Neshaei; Matea Tashkovska; Paola Mejia-Domenzain; Thiemo Wambsganss; Tanja Käser (CHI Extended Abstracts, 2025)

MindMate: Exploring the Effect of Conversational Agents on Reflective Writing. - Seyed Parsa Neshaei; Thiemo Wambsganss; Hind El Bouchrifi; Tanja Käser (CHI Extended Abstracts, 2025)

Applying DebiasEd: A Package for Mitigating Unfairness in Educational Data. - Jade Cock; Frank Stinar; René F. Kizilcec; Tanja Käser (EDM, 2025)

Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification. - Seyed Parsa Neshaei; Richard Lee Davis; Paola Mejia-Domenzain; Tanya Nazaretsky; Tanja Käser (EDM, 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)

Intrinsic User-Centric Interpretability through Global Mixture of Experts. - Vinitra Swamy; Syrielle Montariol; Julian Blackwell; Jibril Frej; Martin Jaggi; Tanja Käser (ICLR, 2025)

TeamTeachingViz: Benefits, Challenges, and Ethical Considerations of Using a Multimodal Analytics Dashboard to Support Team Teaching Reflection. - Riordan Alfredo; Paola Mejia-Domenzain; Vanessa Echeverría; Dwi Rahayu; Linxuan Zhao; Haya Alajlan; Zachari Swiecki; Tanja Käser; Dragan Gasevic; Roberto Martínez-Maldonado (LAK, 2025)

The Effect of Different Support Strategies on Student Affect. - Julie Le Tallec; Ethan Prihar; Tanja Käser (LAK, 2025)

The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions. - Tanya Nazaretsky; Paola Mejia-Domenzain; Vinitra Swamy; Jibril Frej; Tanja Käser (Comput. Educ. Artif. Intell., 2025)

Viewpoint: The Future of Human-Centric Explainable Artificial Intelligence (XAI) is not Post-Hoc Explanations. - Vinitra Swamy; Jibril Frej; Tanja Käser (J. Artif. Intell. Res., 2025)

Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment. - Lucile Favero; Juan Antonio Pérez-Ortiz; Tanja Käser; Nuria Oliver (CoRR, 2025)

Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes. - Paola Mejia-Domenzain; Jibril Frej; Seyed Parsa Neshaei; Luca Mouchel; Tanya Nazaretsky; Thiemo Wambsganss; Antoine Bosselut; Tanja Käser (Int. J. Artif. Intell. Educ., 2025)

ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs. - Bahar Radmehr; Ekaterina Shved; Fatma Betül Güres; Adish Singla; Tanja Käser (CoRR, 2025)

Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing. - Thiemo Wambsganss; Ivo Benke; Alexander Maedche; Kenneth R. Koedinger; Tanja Käser (Int. J. Artif. Intell. Educ., 2025)

Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting. - Sankalan Pal Chowdhury; Terry Jingchen Zhang; Donya Rooein; Dirk Hovy; Tanja Käser; Mrinmaya Sachan (CoRR, 2025)

ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection. - Lucile Favero; Daniel Frases; Juan Antonio Pérez-Ortiz; Tanja Käser; Nuria Oliver (CoRR, 2025)

Do AI tutors empower or enslave learners? Toward a critical use of AI in education. - Lucile Favero; Juan Antonio Pérez-Ortiz; Tanja Käser; Nuria Oliver (CoRR, 2025)