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Tanja Käser
Tanja Käser
Tenure Track Assistant Professor
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Dynamic Bayesian Networks for Student Modeling
T Käser, S Klingler, AG Schwing, G Markus
IEEE Transactions on Learning Technologies, 2017
1672017
Design and evaluation of the computer-based training program Calcularis for enhancing numerical cognition
T Käser, GM Baschera, J Kohn, K Kucian, V Richtmann, U Grond, M Gross, ...
Frontiers in psychology 4, 489, 2013
1252013
Beyond KnowledgeTracing: Modeling Skill Topologies with Bayesian Networks
T Käser, S Klingler, AG Schwing, M Gross
International Conference on Intelligent Tutoring Systems, 188-198, 2014
812014
Modeling exploration strategies to predict student performance within a learning environment and beyond
T Käser, NR Hallinen, DL Schwartz
Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017
582017
When to stop? Towards Universal Instructional Policies
T Käser, S Klingler, M Gross
Proceedings of the Sixth International Conference on Learning Analytics …, 2016
382016
Different parameters-same prediction: An analysis of learning curves
T Käser, K Koedinger, M Gross
Educational Data Mining 2014, 2014
372014
Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments
T Käser, DL Schwartz
International Journal of Artificial Intelligence in Education 30 (3), 504-535, 2020
352020
Modelling and optimizing the process of learning mathematics
T Käser, AG Busetto, GM Baschera, J Kohn, K Kucian, M von Aster, ...
International Conference on Intelligent Tutoring Systems, 389-398, 2012
352012
Temporally Coherent Clustering of Student Data.
S Klingler, T Käser, B Solenthaler, MH Gross
EDM, 102-109, 2016
342016
Modelling and optimizing mathematics learning in children
T Käser, AG Busetto, B Solenthaler, GM Baschera, J Kohn, K Kucian, ...
International Journal of Artificial Intelligence in Education 23, 115-135, 2013
342013
Das Mathematikangstinterview (MAI): Erste psychometrische Gütekriterien
J Kohn, V Richtmann, L Rauscher, K Kucian, T Käser, U Grond, G Esser, ...
Lernen und Lernstörungen, 2013
332013
Kinder mit Dyskalkulie fokussieren spontan weniger auf Anzahligkeit
K Kucian, J Kohn, MM Hannula-Sormunen, V Richtmann, U Grond, ...
Lernen und Lernstörungen 1 (4), 241-253, 2012
282012
Rechenstörungen bei Kindern: Neurowissenschaft, Psychologie, Pädagogik
S Pixner, T Käser, U Grond, M Schweiter, K Kucian, M Bzufka, I Schwank, ...
Vandenhoeck & Ruprecht, 2013
272013
Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses
M Marras, JTT Vignoud, T Käser
International Conference of Educational Data Mining, 2021
262021
Perspectives to technology-enhanced learning and teaching in mathematical learning difficulties
P Räsänen, D Laurillard, T Käser, M Aster
International handbook of mathematical learning difficulties, 733-754, 2019
262019
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
V Swamy, B Radmehr, N Krco, M Marras, T Käser
arXiv preprint arXiv:2207.00551, 2022
252022
Cluster-based prediction of mathematical learning patterns
T Käser, AG Busetto, B Solenthaler, J Kohn, M von Aster, M Gross
International Conference on Artificial Intelligence in Education, 389-399, 2013
252013
Efficient Feature Embeddings for Student Classification with Variational Auto-Encoders.
S Klingler, R Wampfler, T Käser, B Solenthaler, M Gross
International Educational Data Mining Society, 2017
242017
Evaluation of a computer-based training program for enhancing arithmetic skills and spatial number representation in primary school children
L Rauscher, J Kohn, T Käser, V Mayer, K Kucian, U McCaskey, G Esser, ...
Frontiers in psychology 7, 913, 2016
232016
Efficacy of a computer-based learning program in children with developmental dyscalculia. What influences individual responsiveness?
J Kohn, L Rauscher, K Kucian, T Käser, A Wyschkon, G Esser, ...
Frontiers in Psychology 11, 505087, 2020
192020
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Articles 1–20