6 papers · 1 filter
How undergraduate physics students use generative AI for computational modeling
Karl Henrik Fredly, Tor Ole B. Odden, Benjamin M. Zwickl
Generative artificial intelligence (genAI) is becoming increasingly prevalent and capable in physics, particularly for programming-related tasks. How, then, does genAI affect stude…
Physics Computational Literacy: Programming, modeling and collaboration at the journeyman level
Karl Henrik Fredly, Tor Ole B. Odden, Benjamin M. Zwickl
Computation has become an integral part of physics research. However, little is known about how students learn to productively use computation as a tool beyond the introductory lev…
Same Activity, Divergent Impacts: Representing Paths Towards Physics Computational Literacy and Physics Identity with Conjecture Mapping-Based Narrative Analysis
Sarah McHale, Tor Ole B. Odden, Ken Heller
Integrating computation into physics teaching is a curricular move that, at present, has been predominately studied for its cognitive impacts. However, if this modality of instruct…
Studying Impact and Intent of Design: Conjecture Mapping for Affect-Centered Analysis
Sarah McHale, Tor Ole B. Odden, Ken Heller
Physics education researchers have argued that authentic physics education includes computation as part of a physics student's training, and many parties have made efforts towards…
How Physics Professors Use and Frame Generative AI Tools
Vidar Skogvoll, Tor Ole Odden
Generative AI is rapidly reshaping how physicists teach, learn, and conduct research, yet little is known about how physics faculty are responding to these changes. We interviewed…
Uncovering shifts in the history of Physics education: a systematic, NLP-based, thematic analysis of articles from The Physics Teacher and Physics Education journals (1966-2019)
Martina Caramaschi, Tor Ole B. Odden
This study explores the thematic evolution of articles in The Physics Teacher and Physics Education journals, over a critical period in modern history, from the Cold War era to the…