Engineering students and novices show distinct, group-specific patterns of convergent neural representations when evaluating real-world structures¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? A data-driven multivariate intersubject correlation analysis at fMRI run 1 revealed distinct regions of representational convergence for each group: engineering students uniquely in motor, ventral prefrontal, and inferior parietal regions; novices uniquely in anterior frontal and superior parietal regions. → Joshua S. Cetron 2020

Evidence¶

Joshua S. Cetron 2020¶

Joshua S. Cetron, Andrew C. Connolly, Solomon G. Diamond, Vicki V. May, James V. Haxby and David J. M. Kraemer. (2020). Using the force: STEM knowledge and experience construct shared neural representations of engineering concepts. npj Science of Learning. https://doi.org/10.1038/s41539-020-0065-x

q3 · i? · associational · r2

Multivariate intersubject DM correlation analysis across 20,484 surface nodes at fMRI run 1 in N = 31 participants found engineering-student-only convergence (1,863 nodes), novice-only convergence (842 nodes), and overlapping convergence (2,426 nodes). Engineering convergence localized to "motor regions including primary motor cortex (M1)" and ventral PFC; novices converged in more anterior frontal and superior parietal regions.

"Representa- tional convergence among engineering students was notably localized to motor regions including primary motor cortex (M1), portions of ventral prefrontal cortex (PFC), and inferior parietal regions. Representational convergence among novices was predominantly localized to more anterior frontal regions and"

Discussion¶

Related Claims¶

• By the final fMRI run, group differences in convergent neural representations shrink and are no longer strongly reflective of mechanical category information, consistent with task-specific rather than conceptual learning — related
• Mechanical category knowledge learned in school is implicitly represented in engineering students' bilateral anterior ventral occipitotemporal cortex, but not significantly in novices — related
• Visual similarity information peaks in primary visual cortex for both groups with a gradient opposite to mechanical category information, showing mechanical categories are not explained by visual features — related
• Engineering students significantly outperform novices on a naturalistic free body diagram task measuring Newtonian force knowledge — related
• Novices improve more than engineering students across FBD task runs, eliminating the group difference by the final run — related
• Focal node analysis showed advanced learners' central concepts converged with experts' after the game, while novices' remained divergent — related