Mechanical category knowledge learned in school is implicitly represented in engineering students' bilateral anterior ventral occipitotemporal cortex, but not significantly in novices¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r1 · q3
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Engineering students showed a significant peak correlation with a mechanical category model in a bilateral anterior vOT informational network. → Joshua S. Cetron 2020 q3 i? Novices showed only a nonsignificant mechanical category representation peak in a right anterior vOT informational network. → Joshua S. Cetron 2020 (2)

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 · r1

Informational network analysis (a variant of RSA) at fMRI run 1 in N = 31 participants correlated each group's network dissimilarity matrices with a mechanical category model (cantilevers, trusses, vertical loads). "Engineering students as a group showed a significant peak correlation with the mechanical category representation model in a bilateral anterior vOT informational network," t(15) = 2.27, p = 0.038.

"Engineering students as a group showed a significant peak correlation with the mechanical category representation model in a bilateral anterior vOT informational network ( t(15) = 2.27, p = 0.038), with a nonsigni ficant secondary peak in an M1 informational network ( t(15) = 1.93, p = 0.073)."

Joshua S. Cetron 2020 (2)¶

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 · r1

For novices, the mechanical category peak in right anterior vOT was "nonsigni ficant," t(14) = 2.06, p = 0.058; no effect size is printed, so the null is reported without magnitude.

"Novices as a group showed a nonsigni ficant mechanical category representation peak in a right anterior vOT informational network (t(14) = 2.06, p = 0.058)."

Discussion¶

Related Claims¶

• Engineering students and novices show distinct, group-specific patterns of convergent neural representations when evaluating real-world structures — related
• Engineering students significantly outperform novices on a naturalistic free body diagram task measuring Newtonian force knowledge — related
• 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
• 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