Tanja Käser

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Assistive technology for supporting learning numeracy

A. Gillespie, P. Räsänen, Tanja Käser, 2015 .

Design and evaluation of the computer-based training program Calcularis for enhancing numerical cognition

Markus Gross, Tanja Käser, Gian-Marco Baschera, 2013, Front. Psychol..

Action Sequences Action Processing Similarity Computation Clustering Model Selection ABBCSDS ... DJJSGABB ... FGGHST ...

Tanja Käser, M. Gross, Severin Klingler, 2016 .

Efficacy of a Computer-Based Learning Program in Children With Developmental Dyscalculia. What Influences Individual Responsiveness?

K. Kucian, M. von Aster, Tanja Käser, 2020, Frontiers in Psychology.

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

M. Marras, Tanja Käser, Vinitra Swamy, 2022, ArXiv.

Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging

J. Leimeister, Tanja Käser, Andreas Janson, 2022, Proc. ACM Hum. Comput. Interact..

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals

Alberto A. P. Cattaneo, M. Marras, Tanja Käser, 2022, IEEE Transactions on Learning Technologies.

Designing Conversational Evaluation Tools

K. Koedinger, J. Leimeister, Tanja Käser, 2022, Proc. ACM Hum. Comput. Interact..

Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning

M. Marras, Tanja Käser, G. Fenu, 2022, LAK.

Perspectives to Technology-Enhanced Learning and Teaching in Mathematical Learning Difficulties

Diana Laurillard, Pekka Räsänen, Tanja Käser, 2019, International Handbook of Mathematical Learning Difficulties.

Generalisable Methods for Early Prediction in Interactive Simulations for Education

M. Marras, Tanja Käser, Christian Giang, 2022, EDM.

Early Prediction of Conceptual Understanding in Interactive Simulations

M. Marras, Tanja Käser, Christian Giang, 2021, EDM.

Efficient Feature Embeddings for Student Classification with Variational Auto-encoders

Markus H. Gross, Barbara Solenthaler, Severin Klingler, 2017, EDM.

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

Markus H. Gross, Barbara Solenthaler, Severin Klingler, 2015, EDM.

Evaluation of a Computer-Based Training Program for Enhancing Arithmetic Skills and Spatial Number Representation in Primary School Children

Tanja Käser, Juliane Kohn, Karin Kucian, 2016, Front. Psychol..

Modelling and Optimizing Mathematics Learning in Children

K. Kucian, B. Solenthaler, Tanja Käser, 2013, International Journal of Artificial Intelligence in Education.

Modelling and Optimizing the Process of Learning Mathematics

Markus H. Gross, Alberto Giovanni Busetto, Tanja Käser, 2012, ITS.

Therapy software for enhancing numerical cognition

Markus Gross, Sascha Bernholt, Michael von Aster, 2011 .

Dynamic Bayesian Networks for Student Modeling

Alexander G. Schwing, Severin Klingler, Markus Gross, 2017, IEEE Transactions on Learning Technologies.

When to stop?: towards universal instructional policies

Markus H. Gross, Severin Klingler, Tanja Käser, 2016, LAK.

Ripple: Concept-Based Interpretation for Raw Time Series Models in Education

M. Marras, Tanja Käser, Vinitra Swamy, 2022, ArXiv.

Meta Transfer Learning for Early Success Prediction in MOOCs

M. Marras, Tanja Käser, Vinitra Swamy, 2022, L@S.

Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains

Joachim M. Buhmann, Markus H. Gross, Barbara Solenthaler, 2013, Int. J. Artif. Intell. Educ..

Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling

Tanja Käser, Thiemo Wambsganss, Roman Rietsche, 2022, COLING.

Stealth Assessment in ITS - A Study for Developmental Dyscalculia

Markus H. Gross, Barbara Solenthaler, Severin Klingler, 2016, ITS.

Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments

Daniel L. Schwartz, Tanja Käser, D. Schwartz, 2020, International Journal of Artificial Intelligence in Education.

Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments

D. Schwartz, Tanja Käser, 2020, International Journal of Artificial Intelligence in Education.

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

Daniel L. Schwartz, Nicole R. Hallinen, Tanja Käser, 2017, LAK.

Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks

Markus H. Gross, Alexander G. Schwing, Severin Klingler, 2014, Intelligent Tutoring Systems.

Cluster-Based Prediction of Mathematical Learning Patterns

Markus H. Gross, Barbara Solenthaler, Alberto Giovanni Busetto, 2013, AIED.

A systematic review of empirical studies using log data from open-ended learning environments to measure science and engineering practices

Karen D. Wang, Tanja Käser, Engin Bumbacher, 2022, Br. J. Educ. Technol..

Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms

M. Marras, Tanja Käser, Christian Giang, 2022, AIED.

Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses

M. Marras, Tanja Käser, J. Vignoud, 2021, EDM.

Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration

P. Dillenbourg, Tanja Käser, Thiemo Wambsganss, 2023, CHI Extended Abstracts.

Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test

Tanja Käser, Giora Alexandron, 2023, Int. J. Artif. Intell. Educ..