Tracing trajectories: Using machine learning to map how chemistry students’ mechanistic reasoning develops over time - Research portal of Justus Liebig University Giessen:

Journal article

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

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

Publication year: 2026

Journal: Journal of Research in Science Teaching

Publisher: Wiley

Authors/Editors

- Uni.-Prof. Dr. Nicole Graulich

Citation Styles

Harvard Citation style: 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 Citation style: 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.