Tanja Käser

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 69

Top Topics

Graphical Interfaces

Learning Curves

Learning Environment

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. CoRR (2024)
Paola Mejia-Domenzain, Tanya Nazaretsky, Simon Schultze, Jan Hochweber, Tanja Käser
Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities. AIED (2) (2024)
Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. AIED Companion (1) (2024)
Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning. CoRR (2024)
Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser
Course Recommender Systems Need to Consider the Job Market. CoRR (2024)
Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser
Course Recommender Systems Need to Consider the Job Market. SIGIR (2024)
Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. CoRR (2024)
Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. LAK (2024)
Vinitra Swamy, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser
InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks. CoRR (2024)
Jibril Frej, Marta Knezevic, Tanja Käser
Graph Reasoning for Explainable Cold Start Recommendation. CoRR (2024)
Ekaterina Shved, Engin Bumbacher, Paola Mejia-Domenzain, Manu Kapur, Tanja Käser
Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations. AIED (1) (2024)
Bahar Radmehr, Adish Singla, Tanja Käser
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. CoRR (2024)
Aybars Yazici, Paola Mejia-Domenzain, Jibril Frej, Tanja Käser
GELEX: Generative AI-Hybrid System for Example-Based Learning. CHI Extended Abstracts (2024)
Tanja Käser, Giora Alexandron
Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test. Int. J. Artif. Intell. Educ. 34 (2) (2024)
Ethan Prihar, Bahar Radmehr, Tanja Käser
An Interpretable Approach to Identify Performance Indicators Within Unstructured Learning Environments. AIED Companion (1) (2024)
Richard Lee Davis, Thiemo Wambsganss, Wei Jiang, Kevin Gonyop Kim, Tanja Käser, Pierre Dillenbourg
Fashioning Creative Expertise with Generative AI: Graphical Interfaces for Design Space Exploration Better Support Ideation Than Text Prompts. CHI (2024)
Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Käser
Towards Modeling Learner Performance with Large Language Models. CoRR (2024)
Vinitra Swamy, Jibril Frej, Tanja Käser
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations. CoRR (2023)
Jade Maï Cock, Ido Roll, Tanja Käser
Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains. AIED (Posters/Late Breaking Results/...) (2023)
Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser
Understanding Revision Behavior in Adaptive Writing Support Systems for Education. EDM (2023)
Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. CoRR (2023)
Xiaotian Su, Thiemo Wambsganss, Roman Rietsche, Seyed Parsa Neshaei, Tanja Käser
Reviewriter: AI-Generated Instructions For Peer Review Writing. BEA@ACL (2023)
Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Käser
Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers. CoRR (2023)
Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. EMNLP (Findings) (2023)
Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks. NeurIPS (2023)
Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras
How Close are Predictive Models to Teachers in Detecting Learners at Risk? UMAP (2023)
Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. CoRR (2023)
Jade Maï Cock, Muhammad Bilal, Richard Davis, Mirko Marras, Tanja Käser
Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. LAK (2023)
Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. CoRR (2023)
Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. LAK (2023)
Richard Lee Davis, Thiemo Wambsganss, Wei Jiang, Kevin Gonyop Kim, Tanja Käser, Pierre Dillenbourg
Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration. CHI Extended Abstracts (2023)
Karen D. Wang, Jade Maï Cock, Tanja Käser, Engin Bumbacher
A systematic review of empirical studies using log data from open-ended learning environments to measure science and engineering practices. Br. J. Educ. Technol. 54 (1) (2023)
Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. LAK (2023)
Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser
Understanding Revision Behavior in Adaptive Writing Support Systems for Education. CoRR (2023)
Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks. CoRR (2023)
Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. AAAI (2023)
Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Käser
Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers. AIED (Posters/Late Breaking Results/...) (2023)
Thiemo Wambsganss, Naim Zierau, Matthias Söllner, Tanja Käser, Kenneth R. Koedinger, Jan Marco Leimeister
Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Thiemo Wambsganss, Naim Zierau, Matthias Söllner, Tanja Käser, Kenneth R. Koedinger, Jan Marco Leimeister
Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser
Generalisable Methods for Early Prediction in Interactive Simulations for Education. EDM (2022)
Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Käser
Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms. AIED (1) (2022)
Jade Maï Cock, Muhammad Bilal, Richard Davis, Mirko Marras, Tanja Käser
Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. CoRR (2022)
Vinitra Swamy, Mirko Marras, Tanja Käser
Meta Transfer Learning for Early Success Prediction in MOOCs. L@S (2022)
Thiemo Wambsganss, Andreas Janson, Tanja Käser, Jan Marco Leimeister
Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. EDM (2022)
Vinitra Swamy, Mirko Marras, Tanja Käser
Meta Transfer Learning for Early Success Prediction in MOOCs. CoRR (2022)
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. CoRR (2022)
Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Alberto A. P. Cattaneo, Tanja Käser
Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals. IEEE Trans. Learn. Technol. 15 (5) (2022)
Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. CoRR (2022)
Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. CoRR (2022)
Thiemo Wambsganss, Andreas Janson, Tanja Käser, Jan Marco Leimeister
Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. CoRR (2022)
Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser
Generalisable Methods for Early Prediction in Interactive Simulations for Education. CoRR (2022)
Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. CoRR (2022)
Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. COLING (2022)
Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack
Designing Intelligent Systems for Online Education: Open Challenges and Future Directions. L2D@WSDM (2021)
Mirko Marras, Julien Tuan Tu Vignoud, Tanja Käser
Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses. EDM (2021)
Jade Cock, Mirko Marras, Christian Giang, Tanja Käser
Early Prediction of Conceptual Understanding in Interactive Simulations. EDM (2021)
Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack
L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web. WSDM (2021)
Tanja Käser, Daniel L. Schwartz
Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments. Int. J. Artif. Intell. Educ. 30 (3) (2020)
Tanja Käser, Daniel L. Schwartz
Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments. EDM (2019)
Barbara Solenthaler, Severin Klingler, Tanja Käser, Markus H. Gross
Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics. CoRR (2018)
Tanja Käser, Severin Klingler, Alexander G. Schwing, Markus H. Gross
Dynamic Bayesian Networks for Student Modeling. IEEE Trans. Learn. Technol. 10 (4) (2017)
Severin Klingler, Rafael Wampfler, Tanja Käser, Barbara Solenthaler, Markus H. Gross
Efficient Feature Embeddings for Student Classification with Variational Auto-encoders. EDM (2017)
Tanja Käser, Nicole R. Hallinen, Daniel L. Schwartz
Modeling exploration strategies to predict student performance within a learning environment and beyond. LAK (2017)
Severin Klingler, Tanja Käser, Barbara Solenthaler, Markus H. Gross
Temporally Coherent Clustering of Student Data. EDM (2016)
Tanja Käser, Severin Klingler, Markus H. Gross
When to stop?: towards universal instructional policies. LAK (2016)
Severin Klingler, Tanja Käser, Alberto Giovanni Busetto, Barbara Solenthaler, Juliane Kohn, Michael von Aster, Markus H. Gross
Stealth Assessment in ITS - A Study for Developmental Dyscalculia. ITS (2016)
Severin Klingler, Tanja Käser, Barbara Solenthaler, Markus H. Gross
On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models. EDM (2015)
Tanja Käser, Kenneth R. Koedinger, Markus H. Gross
Different parameters - same prediction: An analysis of learning curves. EDM (2014)
Tanja Käser, Severin Klingler, Alexander G. Schwing, Markus H. Gross
Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks. Intelligent Tutoring Systems (2014)
Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross
Computational Education using Latent Structured Prediction. AISTATS (2014)
Tanja Käser, Alberto Giovanni Busetto, Barbara Solenthaler, Juliane Kohn, Michael von Aster, Markus H. Gross
Cluster-Based Prediction of Mathematical Learning Patterns. AIED (2013)
Tanja Käser, Alberto Giovanni Busetto, Barbara Solenthaler, Gian-Marco Baschera, Juliane Kohn, Karin Kucian, Michael von Aster, Markus H. Gross
Modelling and Optimizing Mathematics Learning in Children. Int. J. Artif. Intell. Educ. 23 (1-4) (2013)
Tanja Käser, Gian-Marco Baschera, Alberto Giovanni Busetto, Severin Klingler, Barbara Solenthaler, Joachim M. Buhmann, Markus H. Gross
Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains. Int. J. Artif. Intell. Educ. 22 (1-2) (2013)
Tanja Käser, Alberto Giovanni Busetto, Gian-Marco Baschera, Juliane Kohn, Karin Kucian, Michael von Aster, Markus H. Gross
Modelling and Optimizing the Process of Learning Mathematics. ITS (2012)