Kathrin Seßler

According to our database, Kathrin Seßler authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Large Language Models Don't Make Sense of Word Problems. A Scoping Review from a Mathematics Education Perspective.

Anselm R. Strohmaier, Wim Van Dooren, Kathrin Seßler, Brian Greer, Lieven Verschaffel

CoRR, June, 2025

Towards Adaptive Feedback with AI: Comparing the Feedback Quality of LLMs and Teachers on Experimentation Protocols.

Kathrin Seßler, Arne Bewersdorff, Claudia Nerdel, Enkelejda Kasneci

CoRR, February, 2025

Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoring.

Kathrin Seßler, Maurice Fürstenberg, Babette Bühler, Enkelejda Kasneci

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

2024

Deep Neural Networks and Tabular Data: A Survey.

Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Benchmarking Large Language Models for Math Reasoning Tasks.

Kathrin Seßler, Yao Rong, Emek Gözlüklü, Enkelejda Kasneci

CoRR, 2024

Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education.

Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Seßler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel

CoRR, 2024

Enhancing Student Motivation Through LLM-Powered Learning Environments - A Comparative Study.

Kathrin Seßler, Ozan Kepir, Enkelejda Kasneci

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

2023

Assessing student errors in experimentation using artificial intelligence and large language models: A comparative study with human raters.

Arne Bewersdorff, Kathrin Seßler, Armin Baur, Enkelejda Kasneci, Claudia Nerdel

Comput. Educ. Artif. Intell., 2023

Language Models are Realistic Tabular Data Generators.

Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PEER: Empowering Writing with Large Language Models.

Kathrin Seßler, Tao Xiang, Lukas Bogenrieder, Enkelejda Kasneci

Proceedings of the Responsive and Sustainable Educational Futures, 2023