output
20122026
most citedAssessing Student Errors in Experimentation Using Artificial Intelligence and Large Language Models: A Comparative Study with Human Raters

70 citations

17 papers

cs.SE2026

Political and Ideological Pressure in Software Engineering Research: The Case of DEI Backlash

Sonja M. Hyrynsalmi, Chris Brown, Alexander Serebrenik +2

Political and ideological pressures shape global research. Recently, these pressures have become particularly visible in research related to diversity, equity, and inclusion (DEI).…

cs.FL2025

Idefix-Closed Languages and Their Application in Contextual Grammars

Marvin Ködding, Bianca Truthe

In this paper, we continue the research on the power of contextual grammars with selection languages from subfamilies of the family of regular languages. We investigate infix-, pre…

physics.ed-ph2024★ 4 cited

A Systematic Review of Empirical Research on Graphing Numerical Data in K-12 STEM Education

Verena Ruf, Dominik Thues, Sarah Malone +5

Graphs are essential representations in the professions and education concerning the science, technology, engineering, and mathematics (STEM) disciplines. Beyond their academic rel…

cs.RO2024★ 23 cited

Magneto-oscillatory localization for small-scale robots

Felix Fischer, Christian Gletter, Moonkwang Jeong +1

Magnetism is widely used for the wireless localization and actuation of robots and devices for medical procedures. However, current static magnetic localization methods suffer from…

hep-ex2023★ 1 cited

Results on Elastic Cross Sections in Proton-Proton Collisions at GeV with the STAR Detector at RHIC

STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +351

We report results on an elastic cross section measurement in proton-proton collisions at a center-of-mass energy GeV, obtained with the Roman Pot setup of the STAR e…

cs.AI2023★ 70 cited

Assessing Student Errors in Experimentation Using Artificial Intelligence and Large Language Models: A Comparative Study with Human Raters

Arne Bewersdorff, Kathrin Seßler, Armin Baur +2

Identifying logical errors in complex, incomplete or even contradictory and overall heterogeneous data like students' experimentation protocols is challenging. Recognizing the limi…