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

Enhancing Critical Thinking in Education by means of a Socratic Chatbot.
CoRR, 2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.
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CoRR, 2024

Graph Reasoning for Explainable Cold Start Recommendation.
CoRR, 2024

InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks.
CoRR, 2024

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges.
CoRR, 2024

Course Recommender Systems Need to Consider the Job Market.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

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

Preface.
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

Human-Centric eXplainable AI in Education (HEXED) Workshop.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Towards Modeling Learner Performance with Large Language Models.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Leveraging Large Language Models for Next-Generation Educational Technologies.
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

AI or Human? Evaluating Student Feedback Perceptions in Higher Education.
Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

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

How Close are Predictive Models to Teachers in Detecting Learners at Risk?
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks.
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

Understanding Revision Behavior in Adaptive Writing Support Systems for Education.
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

Reviewriter: AI-Generated Instructions For Peer Review Writing.
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

Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains.
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.
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

Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging.
Proc. ACM Hum. Comput. Interact., 2022

Meta Transfer Learning for Early Success Prediction in MOOCs.
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

Generalisable Methods for Early Prediction in Interactive Simulations for Education.
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
Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments.
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
Dynamic Bayesian Networks for Student Modeling.
IEEE Trans. Learn. Technol., 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
When to stop?: towards universal instructional policies.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Stealth Assessment in ITS - A Study for Developmental Dyscalculia.
Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016

Temporally Coherent Clustering of Student Data.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014
Modeling and Optimizing Computer-Assisted Mathematics Learning in Children.
PhD thesis, 2014

Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Different parameters - same prediction: An analysis of learning curves.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Computational Education using Latent Structured Prediction.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Modelling and Optimizing Mathematics Learning in Children.
Int. J. Artif. Intell. Educ., 2013

Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains.
Int. J. Artif. Intell. Educ., 2013

Cluster-Based Prediction of Mathematical Learning Patterns.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012
Modelling and Optimizing the Process of Learning Mathematics.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012


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