Peter Wulff

According to our database, Peter Wulff authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Evidence for Daily and Weekly Periodic Variability in GPT-4o Performance.

Paul Tschisgale, Peter Wulff

CoRR, February, 2026

2025

Developing and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Evidence-Centered Design for Supporting Physics Problem Solving.

Holger Maus, Paul Tschisgale, Fabian Kieser, Stefan Petersen, Peter Wulff

CoRR, December, 2025

Report on the Scoping Workshop on AI in Science Education Research 2025.

Marcus Kubsch, Marit Kastaun, Peter Wulff, Nicole Graulich, Moriah Ariely, Alexander Bergmann-Gering, Sebastian Gombert, Bor Gregorcic, Hendrik Härtig, Benedikt Heuckmann, Andrea Horbach, Christina Krist, Gerd Kortemeyer, Ben Münch, Samuel Pazicni, Joshua M. Rosenberg, Sascha Schanze, Gena Sbeglia, Vidar Skogvoll, Christophe Speroni, Christoph Thyssen, Lars-Jochen Thoms, Brandon J. Yik, Xiaoming Zhai

CoRR, November, 2025

Evaluating GPT- and Reasoning-based Large Language Models on Physics Olympiad Problems: Surpassing Human Performance and Implications for Educational Assessment.

Paul Tschisgale, Holger Maus, Fabian Kieser, Ben Kroehs, Stefan Petersen, Peter Wulff

CoRR, May, 2025

2024

Correction to: Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers' Written Refections.

Peter Wulff, Lukas Mientus, Anna Nowak, Andreas Borowski

Int. J. Artif. Intell. Educ., June, 2024

David vs. Goliath: comparing conventional machine learning and a large language model for assessing students' concept use in a physics problem.

Fabian Kieser, Paul Tschisgale, Sophia Rauh, Xiaoyu Bai, Holger Maus, Stefan Petersen, Manfred Stede, Knut Neumann, Peter Wulff

Frontiers Artif. Intell., 2024

2023

Network analysis of terms in the natural sciences insights from Wikipedia through natural language processing and network analysis.

Peter Wulff

Educ. Inf. Technol., November, 2023

Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers' Written Reflections.

Peter Wulff, Lukas Mientus, Anna Nowak, Andreas Borowski

Int. J. Artif. Intell. Educ., September, 2023