Speaker
Tobias Patrick Treczoks
(Ludwig Maximilians Universitat (DE))
Description
AI literacy is pivotal for students navigating AI-driven environments. This research introduces a novel performance-based AI literacy assessment test targeting high-school students (16–19). Built on foundational AI literacy conceptualisations, the tool aims to predict students’ proficiency in using AI tools effectively. Validation employs Classical Test Theory and Item Response Theories, eventually linking test outcomes with performance in AI interactions. Initial findings from trials conducted at CERN Science Gateway will be presented. Ultimately, the results will inform AI-themed physics education interventions, enhancing students’ critical thinking, input creation, and reflective abilities within AI contexts.
| Education level | Age 15-18 (Secondary education) |
|---|---|
| Physics topic | Interdisciplinary topics |
| Research focus | Evaluation & Assessment |
| Research method | Mixed method (qualitative & quantitative) |
| Organizing preference criteria | Track |
Author
Tobias Patrick Treczoks
(Ludwig Maximilians Universitat (DE))
Co-authors
Jochen Kuhn
(University of Munich)
Dr
Sascha Schmeling
(CERN)
Dr
Stefan Küchemann
(Ludwig-Maximilians-Universität München)
