Sign in
Neurosciencenpj Science of Learning
Peer-reviewed journal article

Brain activity links performance in science reasoning with conceptual approach

Jessica E. BartleyiD, Michael C. RiedeliD, Taylor SaloiD, Emily R. BoevingiD, Katherine L. BottenhorniD, Elsa I. BravoiD, Rosalie OdeaniD, Alina NazarethiD, Robert W. LairdiD, Matthew T. SutherlandiD, Shannon M. PrudeniD, Eric T. BreweiD, Angela R. LairdiD

Abstract

Understanding how students learn is crucial for helping them succeed. We examined brain function in 107 undergraduate students during a task known to be challenging for many students - physics problem solving - to characterize underlying neural mechanisms and determine how these support comprehension and proficiency. Further, we applied module analysis to response distributions, defining groups of students who answered using similar physics conceptions, and probed for brain differences linked with different conceptual approaches. We found integrated executive, attentional, visual motion, and default mode brain systems cooperate to achieve sequential and sustained physics-related cognition. While accuracy alone did not predict brain function, dissociable brain patterns were observed when students solved problems using different physics conceptions, and increased success was linked to conceptual coherence. Our analyses demonstrate that episodic associations and control processes operate in tandem to support physics reasoning, offering insight into effective classroom practices to promote student success.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
19
FWCI
1.31
Field percentile
top 21%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.