Marcus Kubsch

I want to understand how people learn physics and how they can be supported. I'm especially interested in how people navigate uncertainty and in how AI is changing research, teaching, and learning.

Contact

marcus.kubsch@umu.se

+46 90 786 75 31

Works as

Associate professor at Department of Science and Mathematics Education

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

Investigating the analytical robustness of the social and behavioural sciences

Nature, Nature Publishing Group 2026, 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 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, John Wiley & Sons 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, John Wiley & Sons 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, John Wiley & Sons 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 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.

View publications in DiVA

Published: 25 May, 2026

Same data, different answer? A new Nature study counts the gap