Tanja Käser

According to our database, Tanja Käser authored at least 53 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs.

Bahar Radmehr, Adish Singla, Tanja Käser

CoRR, 2024

Course Recommender Systems Need to Consider the Job Market.

Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser

CoRR, 2024

Towards Modeling Learner Performance with Large Language Models.

Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Käser

CoRR, 2024

InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks.

Vinitra Swamy, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser

CoRR, 2024

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges.

Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla

CoRR, 2024

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective.

Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

GELEX: Generative AI-Hybrid System for Example-Based Learning.

Aybars Yazici, Paola Mejia-Domenzain, Jibril Frej, Tanja Käser

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

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., January, 2023

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations.

Vinitra Swamy, Jibril Frej, Tanja Käser

CoRR, 2023

Let Me Teach You: Pedagogical Foundations of Feedback for Language Models.

Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut

CoRR, 2023

How Close are Predictive Models to Teachers in Detecting Learners at Risk?

Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design.

Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 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

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 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

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Understanding Revision Behavior in Adaptive Writing Support Systems for Education.

Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser

Proceedings of the 16th International Conference on Educational Data Mining, 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

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Reviewriter: AI-Generated Instructions For Peer Review Writing.

Xiaotian Su, Thiemo Wambsganss, Roman Rietsche, Seyed Parsa Neshaei, Tanja Käser

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers.

Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Käser

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains.

Jade Maï Cock, Ido Roll, Tanja Käser

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations.

Thiemo Wambsganss, Naim Zierau, Matthias Söllner, Tanja Käser, Kenneth R. Koedinger, Jan Marco Leimeister

Proc. ACM Hum. Comput. Interact., 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

Meta Transfer Learning for Early Success Prediction in MOOCs.

Vinitra Swamy, Mirko Marras, Tanja Käser

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 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

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Generalisable Methods for Early Prediction in Interactive Simulations for Education.

Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser

Proceedings of the 15th International Conference on Educational Data Mining, 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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms.

Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Käser

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Designing Intelligent Systems for Online Education: Open Challenges and Future Directions.

Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack

Proceedings of the First International Workshop on Enabling Data-Driven Decisions from Learning on the Web co-located with the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Jerusalem, Israel, March 12, 2021, 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

Proceedings of the WSDM '21, 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

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Early Prediction of Conceptual Understanding in Interactive Simulations.

Jade Cock, Mirko Marras, Christian Giang, Tanja Käser

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020

Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments.

Tanja Käser, Daniel L. Schwartz

Int. J. Artif. Intell. Educ., 2020

2019

Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments.

Tanja Käser, Daniel L. Schwartz

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics.

Barbara Solenthaler, Severin Klingler, Tanja Käser, Markus H. Gross

CoRR, 2018

2017

Dynamic Bayesian Networks for Student Modeling.

Tanja Käser, Severin Klingler, Alexander G. Schwing, Markus H. Gross

IEEE Trans. Learn. Technol., 2017

Modeling exploration strategies to predict student performance within a learning environment and beyond.

Tanja Käser, Nicole R. Hallinen, Daniel L. Schwartz

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Efficient Feature Embeddings for Student Classification with Variational Auto-encoders.

Severin Klingler, Rafael Wampfler, Tanja Käser, Barbara Solenthaler, Markus H. Gross

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

When to stop?: towards universal instructional policies.

Tanja Käser, Severin Klingler, Markus H. Gross

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 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

Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016

Temporally Coherent Clustering of Student Data.

Severin Klingler, Tanja Käser, Barbara Solenthaler, Markus H. Gross

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models.

Severin Klingler, Tanja Käser, Barbara Solenthaler, Markus H. Gross

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

Modeling and Optimizing Computer-Assisted Mathematics Learning in Children.

Tanja Käser

PhD thesis, 2014

Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks.

Tanja Käser, Severin Klingler, Alexander G. Schwing, Markus H. Gross

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Different parameters - same prediction: An analysis of learning curves.

Tanja Käser, Kenneth R. Koedinger, Markus H. Gross

Proceedings of the 7th International Conference on Educational Data Mining, 2014

Computational Education using Latent Structured Prediction.

Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

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

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

Cluster-Based Prediction of Mathematical Learning Patterns.

Tanja Käser, Alberto Giovanni Busetto, Barbara Solenthaler, Juliane Kohn, Michael von Aster, Markus H. Gross

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012

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

Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012