Marcus Kubsch

ag vill förstå hur människor lär sig fysik och hur de kan stödjas. Jag intresserar mig särskilt för hur lärande navigerar osäkerhet och för hur AI förändrar forskning, undervisning och lärande.

Kontakt

marcus.kubsch@umu.se

090-786 75 31

Verksam som

Universitetslektor vid Institutionen för naturvetenskapernas och matematikens didaktik

Naturvetarhuset, huskropp A, plan 5, Johan Bures väg 16 Umeå universitet, 901 87 Umeå

Publikationer Publikationer

Investigating the analytical robustness of the social and behavioural sciences

Nature, Vol. 652, (8108) : 135-142

Aczel, Balazs; Szaszi, Barnabas; Clelland, Harry T.; et al.

Self-regulated Learning in the Digitally Enhanced Science Classroom: Toward an Early Warning System

Educational psychology review, Springer Science and Business Media LLC 2025, Vol. 37, (2)

Kubsch, Marcus; Strauß, Sebastian; Grimm, Adrian; et al.

Adaptive, but Equitable?: Exploring the Impact of Machine Learning-Based Adaptive Support on Educational Debts in Undergraduate Chemistry

Science Education, Wiley 2025, Vol. 110, (3) : 928-946

Martin, Paul P.; Kubsch, Marcus; Yik, Brandon J.; et al.

What affects the continued learning about energy?: Evidence from a 4-year longitudinal study

Journal of Research in Science Teaching, Wiley 2024, Vol. 61, (5) : 975-997

Kubsch, Marcus

Bias, bias everywhere: A response to Li et al. and Zhai and Nehm

Journal of Research in Science Teaching, Wiley 2023, Vol. 60, (10) : 2395-2399

Krist, Christina; Kubsch, Marcus

The interplay between students' motivational profiles and science learning

Journal of Research in Science Teaching, Wiley 2023, Vol. 60, (1) : 3-25

Kubsch, Marcus; Fortus, David; Neumann, Knut; et al.

Distributing epistemic functions and tasks — A framework for augmenting human analytic power with machine learning in science education research

Journal of Research in Science Teaching, Wiley 2023, Vol. 60, (2) : 423-447

Kubsch, Marcus; Krist, Christina; Rosenberg, Joshua M.

Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory

Physical Review Physics Education Research, American Physical Society (APS) 2023, Vol. 19, (2)

Tschisgale, Paul; Wulff, Peter; Kubsch, Marcus

Accretion disk dynamics: alpha-viscosity in self-similar self-gravitating models

Astronomy and Astrophysics, EDP Sciences 2016, Vol. 588

Kubsch, Marcus; Illenseer, Tobias F.; Duschl, Wolfgang J.

Visa publikationer i DiVA