148 citations
- Friedrich-Alexander-Universität Erlangen-NürnbergDE7 papers
- Ludwig-Maximilians-Universität MünchenDE7 papers
- Stockholm UniversitySE7 papers
- Ruhr University BochumDE6 papers
- University College LondonGB6 papers
- City University of Hong KongHK5 papers
- Consejo Superior de Investigaciones CientíficasES5 papers
- University of SalernoIT5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Grupo de Física MatemáticaPT4 papers
- Hong Kong Polytechnic UniversityHK4 papers
- Saarland UniversityDE4 papers
210 papers
Unpacking Vibe Coding: Help-Seeking Processes in Student-AI Interactions While Programming
Daiana Rinja, Eduardo Araujo Oliveira, Sonsoles López-Pernas +3
Generative AI is reshaping higher education programming through vibe coding, where students collaborate with AI via natural language rather than writing code line-by-line. We conce…
The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?
Jennifer Meyer, Olaf Köller, Thorben Jansen +33
With digital learning environments becoming more prevalent, the ease with which generative AI enables the scalable production of real-time, automated feedback holds the potential t…
On the asymptotic behavior of the spectral gap for discrete Schrödinger operators
Matthias Hofmann, Joachim Kerner, Maximilian Pechmann
In this note we elaborate on the asymptotic behavior of the spectral gap of a class of discrete Schrödinger operators defined on a path graph in the limit of infinite volume. We co…
Delving Into the Psychology of Machines: Exploring the Structure of Self-Regulated Learning via LLM-Generated Survey Responses
Leonie V. D. E. Vogelsmeier, Eduardo Oliveira, Kamila Misiejuk +2
Large language models (LLMs) offer the potential to simulate human-like responses and behaviors, creating new opportunities for psychological science. In the context of self-regula…
Axiomatics of Restricted Choices by Linear Orders of Sets with Minimum as Fallback
Kai Sauerwald, Kenneth Skiba, Eduardo Fermé +1
We study how linear orders can be employed to realise choice functions for which the set of potential choices is restricted, i.e., the possible choice is not possible among the ful…
Evaluating Argon2 Adoption and Effectiveness in Real-World Software
Pascal Tippe, Michael P. Berner
Modern password hashing remains a critical defense against credential cracking, yet the transition from theoretically secure algorithms to robust real-world implementations remains…