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Title: Using the force: STEM knowledge and experience construct shared neural representations of engineering concepts
Abstract How does STEM knowledge learned in school change students’ brains? Using fMRI, we presented photographs of real-world structures to engineering students with classroom-based knowledge and hands-on lab experience, examining how their brain activity differentiated them from their “novice” peers not pursuing engineering degrees. A data-driven MVPA and machine-learning approach revealed that neural response patterns of engineering students were convergent with each other and distinct from novices’ when considering physical forces acting on the structures. Furthermore, informational network analysis demonstrated that the distinct neural response patterns of engineering students reflected relevant concept knowledge: learned categories of mechanical structures. Information about mechanical categories was predominantly represented in bilateral anterior ventral occipitotemporal regions. Importantly, mechanical categories were not explicitly referenced in the experiment, nor does visual similarity between stimuli account for mechanical category distinctions. The results demonstrate how learning abstract STEM concepts in the classroom influences neural representations of objects in the world.  more » « less
Award ID(s):
1661088
NSF-PAR ID:
10219839
Author(s) / Creator(s):
; ; ; ; ;
Date Published:
Journal Name:
npj Science of Learning
Volume:
5
Issue:
1
ISSN:
2056-7936
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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