Tracing trajectories: Using machine learning to map how chemistry students’ mechanistic reasoning develops over time - Forschungsportal der Justus-Liebig-Universität Gießen:

Journalartikel

Tracing trajectories: Using machine learning to map how chemistry students’ mechanistic reasoning develops over time

Autorenliste: Martin, PP; Kubsch, M; Yik, BJ; Burlingham, BT; Graulich, N

Jahr der Veröffentlichung: 2026

Zeitschrift: Journal of Research in Science Teaching

Verlag: Wiley

Autoren/Herausgeber

- Uni.-Prof. Dr. Nicole Graulich

Zitierstile

Harvard-Zitierstil: Martin, P., Kubsch, M., Yik, B., Burlingham, B. and Graulich, N. (2026) Tracing trajectories: Using machine learning to map how chemistry students’ mechanistic reasoning develops over time, Journal of Research in Science Teaching

APA-Zitierstil: Martin, P., Kubsch, M., Yik, B., Burlingham, B., & Graulich, N. (2026). Tracing trajectories: Using machine learning to map how chemistry students’ mechanistic reasoning develops over time. Journal of Research in Science Teaching.