Related Experiment Video
Updated: Jun 13, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
Neural responses to errors in models and their relevance for longer term learning among undergraduate life sciences
Caron A C Clark1, Mei Grace Behrendt1, Tammy Long2
1Department of Educational Psychology, University of Nebraska-Lincoln, NE, USA.
Background:
Error detection and inhibition are deemed central to STEM learning, although there is little research on the neural bases of these processes and their role in the developing expertise of life sciences students.
Method:
Fifty undergraduate life sciences students performed a biology model evaluation task and a general go/no-go inhibition task during functional MRI. A year later, they completed a biology model evaluation task outside the scanner.
Results:
Students showed increased ACC and bilateral inferior frontal/insula activity when viewing models with, vs. without, conceptual errors. Multivariate activation patterns showed little correspondence across the fMRI model and go/no-go tasks. Functional connectivity between the ACC and lateral PFC correlated with course grades, while activity in the right inferior frontal gyrus/insula predicted later model evaluation performance.
Conclusions:
Students who activate lateral PFC regions during scientific error detection may show better concept retention, although this neural activity may not reflect inhibitory control.
More Related Videos
Related Concept Videos
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Hindsight Biases
Long-term Potentiation

