Tanja Käser
Orcid: 0000-0003-0672-0415
According to our database1,
Tanja Käser
authored at least 68 papers
between 2012 and 2024.
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Bibliography
2024
Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test.
Int. J. Artif. Intell. Educ., June, 2024
From Explanations to Action: A Zero-Shot, Theory-Driven LLM Framework for Student Performance Feedback.
CoRR, 2024
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs.
Proceedings of the 17th International Conference on Educational Data Mining, 2024
Proceedings of the Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), 2024
Proceedings of the 17th International Conference on Educational Data Mining, 2024
Proceedings of the 17th International Conference on Educational Data Mining, 2024
Proceedings of the 17th International Conference on Educational Data Mining, 2024
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning.
Proceedings of the 17th International Conference on Educational Data Mining, 2024
Investigation of behavioral Differences: Uncovering Behavioral Sources of Demographic Bias in Educational Algorithms.
Proceedings of the 17th International Conference on Educational Data Mining, 2024
Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024
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.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations.
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection.
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, 2024
An Interpretable Approach to Identify Performance Indicators Within Unstructured Learning Environments.
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, 2024
Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities.
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024
2023
A systematic review of empirical studies using log data from open-ended learning environments to measure science and engineering practices.
Br. J. Educ. Technol., January, 2023
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations.
CoRR, 2023
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023
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.
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.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
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.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
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.
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
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
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals.
IEEE Trans. Learn. Technol., 2022
Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations.
Proc. ACM Hum. Comput. Interact., 2022
Proc. ACM Hum. Comput. Interact., 2022
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.
Proceedings of the 15th International Conference on Educational Data Mining, 2022
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.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022
2021
Designing Intelligent Systems for Online Education: Open Challenges and Future Directions.
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.
Proceedings of the WSDM '21, 2021
Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
Early Prediction of Conceptual Understanding in Interactive Simulations.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
2020
Int. J. Artif. Intell. Educ., 2020
2019
Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments.
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.
CoRR, 2018
2017
Modeling exploration strategies to predict student performance within a learning environment and beyond.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017
Efficient Feature Embeddings for Student Classification with Variational Auto-encoders.
Proceedings of the 10th International Conference on Educational Data Mining, 2017
2016
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016
Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016
Proceedings of the 9th International Conference on Educational Data Mining, 2016
2015
Proceedings of the 8th International Conference on Educational Data Mining, 2015
2014
PhD thesis, 2014
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014
Proceedings of the 7th International Conference on Educational Data Mining, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Int. J. Artif. Intell. Educ., 2013
Int. J. Artif. Intell. Educ., 2013
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013
2012
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012