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Tanja Käser
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2020 – today
- 2024
- [j9]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): 545-585 (2024) - [c41]Paola Mejia-Domenzain
, Tanya Nazaretsky
, Simon Schultze, Jan Hochweber
, Tanja Käser
:
Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities. AIED (2) 2024: 104-118 - [c40]Ethan Prihar
, Bahar Radmehr
, Tanja Käser
:
An Interpretable Approach to Identify Performance Indicators Within Unstructured Learning Environments. AIED Companion (1) 2024: 356-363 - [c39]Isadora Salles
, Paola Mejia-Domenzain
, Vinitra Swamy
, Julian Blackwell
, Tanja Käser
:
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. AIED Companion (1) 2024: 382-390 - [c38]Ekaterina Shved, Engin Bumbacher
, Paola Mejia-Domenzain
, Manu Kapur
, Tanja Käser
:
Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations. AIED (1) 2024: 482-496 - [c37]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: 167:1-167:26 - [c36]Aybars Yazici
, Paola Mejia-Domenzain
, Jibril Frej
, Tanja Käser
:
GELEX: Generative AI-Hybrid System for Example-Based Learning. CHI Extended Abstracts 2024: 171:1-171:10 - [c35]Jibril Frej
, Neel Shah
, Marta Knezevic
, Tanya Nazaretsky
, Tanja Käser
:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. LAK 2024: 426-437 - [c34]Jibril Frej
, Anna Dai
, Syrielle Montariol
, Antoine Bosselut
, Tanja Käser
:
Course Recommender Systems Need to Consider the Job Market. SIGIR 2024: 522-532 - [i23]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 abs/2402.01580 (2024) - [i22]Vinitra Swamy
, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser:
InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks. CoRR abs/2402.02933 (2024) - [i21]Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Käser:
Towards Modeling Learner Performance with Large Language Models. CoRR abs/2403.14661 (2024) - [i20]Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser:
Course Recommender Systems Need to Consider the Job Market. CoRR abs/2404.10876 (2024) - [i19]Bahar Radmehr, Adish Singla, Tanja Käser:
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. CoRR abs/2404.18978 (2024) - [i18]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 abs/2405.20079 (2024) - [i17]Jibril Frej, Marta Knezevic, Tanja Käser:
Graph Reasoning for Explainable Cold Start Recommendation. CoRR abs/2406.07420 (2024) - 2023
- [j8]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): 192-221 (2023) - [c33]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: 15903-15911 - [c32]Jade Maï Cock
, Ido Roll
, Tanja Käser
:
Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains. AIED (Posters/Late Breaking Results/...) 2023: 224-229 - [c31]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: 619-624 - [c30]Xiaotian Su, Thiemo Wambsganss
, Roman Rietsche, Seyed Parsa Neshaei, Tanja Käser:
Reviewriter: AI-Generated Instructions For Peer Review Writing. BEA@ACL 2023: 57-71 - [c29]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: 136:1-136:9 - [c28]Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser:
Understanding Revision Behavior in Adaptive Writing Support Systems for Education. EDM 2023 - [c27]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: 10275-10288 - [c26]Vinitra Swamy
, Sijia Du
, Mirko Marras
, Tanja Käser
:
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. LAK 2023: 345-356 - [c25]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: 441-452 - [c24]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: 488-498 - [c23]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 - [c22]Roberta Galici
, Tanja Käser
, Gianni Fenu
, Mirko Marras
:
How Close are Predictive Models to Teachers in Detecting Learners at Risk? UMAP 2023: 135-145 - [e2]Mingyu Feng, Tanja Käser, Partha P. Talukdar, Rakesh Agrawal, Y. Narahari, Mykola Pechenizkiy:
Proceedings of the 16th International Conference on Educational Data Mining, EDM 2023, Bengaluru, India, July 11-14, 2023. International Educational Data Mining Society 2023 [contents] - [i16]Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss
, Tanja Käser:
Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers. CoRR abs/2305.16851 (2023) - [i15]Luca Mouchel, Thiemo Wambsganss
, Paola Mejia-Domenzain, Tanja Käser
:
Understanding Revision Behavior in Adaptive Writing Support Systems for Education. CoRR abs/2306.10304 (2023) - [i14]Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut:
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. CoRR abs/2307.00279 (2023) - [i13]Vinitra Swamy, Jibril Frej, Tanja Käser:
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations. CoRR abs/2307.00364 (2023) - [i12]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 abs/2309.14118 (2023) - [i11]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 abs/2311.03311 (2023) - [i10]Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky
, Tanja Käser
:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. CoRR abs/2312.10082 (2023) - 2022
- [j7]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): 1-31 (2022) - [j6]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): 1-27 (2022) - [j5]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): 579-593 (2022) - [c21]Paola Mejia-Domenzain
, Mirko Marras
, Christian Giang
, Tanja Käser
:
Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms. AIED (1) 2022: 90-102 - [c20]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: 1344-1356 - [c19]Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser:
Generalisable Methods for Early Prediction in Interactive Simulations for Education. EDM 2022 - [c18]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 - [c17]Vinitra Swamy
, Mirko Marras, Tanja Käser
:
Meta Transfer Learning for Early Success Prediction in MOOCs. L@S 2022: 121-132 - [i9]Vinitra Swamy
, Mirko Marras, Tanja Käser
:
Meta Transfer Learning for Early Success Prediction in MOOCs. CoRR abs/2205.01064 (2022) - [i8]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 abs/2207.00551 (2022) - [i7]Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser
:
Generalisable Methods for Early Prediction in Interactive Simulations for Education. CoRR abs/2207.01457 (2022) - [i6]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 abs/2209.10335 (2022) - [i5]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 abs/2212.01133 (2022) - [i4]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 abs/2212.08532 (2022) - [i3]Vinitra Swamy
, Sijia Du, Mirko Marras, Tanja Käser
:
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. CoRR abs/2212.08955 (2022) - [i2]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 abs/2212.10166 (2022) - 2021
- [c16]Jade Cock, Mirko Marras, Christian Giang, Tanja Käser:
Early Prediction of Conceptual Understanding in Interactive Simulations. EDM 2021 - [c15]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 - [c14]Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack:
Designing Intelligent Systems for Online Education: Open Challenges and Future Directions. L2D@WSDM 2021: 57-64 - [c13]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: 1165-1166 - [e1]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 - moved online. CEUR Workshop Proceedings 2876, CEUR-WS.org 2021 [contents] - 2020
- [j4]Tanja Käser
, Daniel L. Schwartz:
Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments. Int. J. Artif. Intell. Educ. 30(3): 504-535 (2020)
2010 – 2019
- 2019
- [c12]Tanja Käser, Daniel L. Schwartz:
Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments. EDM 2019 - 2018
- [i1]Barbara Solenthaler, Severin Klingler, Tanja Käser, Markus H. Gross:
Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics. CoRR abs/1806.03257 (2018) - 2017
- [j3]Tanja Käser
, Severin Klingler, Alexander G. Schwing, Markus H. Gross
:
Dynamic Bayesian Networks for Student Modeling. IEEE Trans. Learn. Technol. 10(4): 450-462 (2017) - [c11]Severin Klingler, Rafael Wampfler, Tanja Käser, Barbara Solenthaler, Markus H. Gross:
Efficient Feature Embeddings for Student Classification with Variational Auto-encoders. EDM 2017 - [c10]Tanja Käser
, Nicole R. Hallinen, Daniel L. Schwartz:
Modeling exploration strategies to predict student performance within a learning environment and beyond. LAK 2017: 31-40 - 2016
- [c9]Severin Klingler, Tanja Käser, Barbara Solenthaler, Markus H. Gross:
Temporally Coherent Clustering of Student Data. EDM 2016: 102-109 - [c8]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: 79-89 - [c7]Tanja Käser
, Severin Klingler, Markus H. Gross
:
When to stop?: towards universal instructional policies. LAK 2016: 289-298 - 2015
- [c6]Severin Klingler, Tanja Käser, Barbara Solenthaler, Markus H. Gross:
On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models. EDM 2015: 37-44 - 2014
- [b1]Tanja Käser:
Modeling and Optimizing Computer-Assisted Mathematics Learning in Children. ETH Zurich, Zürich, Switzerland, 2014 - [c5]Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross:
Computational Education using Latent Structured Prediction. AISTATS 2014: 540-548 - [c4]Tanja Käser, Kenneth R. Koedinger, Markus H. Gross:
Different parameters - same prediction: An analysis of learning curves. EDM 2014: 52-59 - [c3]Tanja Käser
, Severin Klingler, Alexander G. Schwing, Markus H. Gross
:
Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks. Intelligent Tutoring Systems 2014: 188-198 - 2013
- [j2]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): 59-83 (2013) - [j1]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): 115-135 (2013) - [c2]Tanja Käser
, Alberto Giovanni Busetto, Barbara Solenthaler, Juliane Kohn, Michael von Aster, Markus H. Gross
:
Cluster-Based Prediction of Mathematical Learning Patterns. AIED 2013: 389-399 - 2012
- [c1]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: 389-398
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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