Aktuelle Publikationen der AG Graulich

Mai 2026

Martin, P. P., M. Kubsch, B. J. Yik, B. T. Burlingham, and N. Graulich. 2026. “ Adaptive, But Equitable? Exploring the Impact of Machine Learning-Based Adaptive Support on Educational Debts in Undergraduate Chemistry.” Science Education 110: 928–946. https://doi.org/10.1002/sce.70042.

Saupe, S. Lieber, L., Graulich, N. (2026) To be or not to be a model? Exploring chemistry students’ ideas about general and specific meta-modeling knowledge regarding reaction mechanisms in organic chemistry. Chem. Educ. Res. Pract., 2026, 27 (3): 1172-1199. https://doi.org/10.1039/D6RP00041J

Februar 2026

Heinrich, E., Stowe, R. L., Graulich, N. (2026) Epistemic Messages about how and why to learn in Organic Chemistry Lectures. Chem. Educ. Res. Pract., 2026, 27, 461 – 478. https://doi.org/10.1039/D5RP00234F