Module analysis of FCI responses identified 13 student subgroups, with three normative groups differing in accuracy (77%, 73%, 53%) and in conceptual coherence¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr2·q3
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? Community detection on FCI answer distributions detected 13 student groups across 107 students with modularity Q = 0.53; the three largest groups showed accuracy rates of 77%, 73%, and 53%. → Bartley 2019
q3 i? Group A's incorrect answers aligned almost exclusively with the impetus force module, while Group C's incorrect answers spanned five conceptual modules at similar rates. → Bartley 2019 (2)
Evidence¶
Bartley 2019¶
Bartley, J. E., Riedel, M. C., Salo, T., Boeving, E. R., Bottenhorn, K. L., Bravo, E. I., Odean, R., Nazareth, A., Laird, R. W., Sutherland, M. T., Pruden, S. M., Brewe, E. & Laird, A. R. (2019). Brain activity links performance in science reasoning with conceptual approach. npj Science of Learning 4:20. https://doi.org/10.1038/s41539-019-0059-8
q3 · i? · associational · r2
Module analysis using nonparametric sparsification and InfoMapR community detection on the Students × Responses matrix from 107 students. After excluding one group for greater head motion, three normative groups (n = 24, 17, 10) were carried into group-level neuroimaging analyses.
"Module analysis detected 13 student groups across 107 students who answered similarly to each other during FCI problem solving with a modularity of Q = 0.53 (Fig. 3a). Four groups had ten or more members (i.e., normative groups)."
Bartley 2019 (2)¶
Bartley, J. E., Riedel, M. C., Salo, T., Boeving, E. R., Bottenhorn, K. L., Bravo, E. I., Odean, R., Nazareth, A., Laird, R. W., Sutherland, M. T., Pruden, S. M., Brewe, E. & Laird, A. R. (2019). Brain activity links performance in science reasoning with conceptual approach. npj Science of Learning 4:20. https://doi.org/10.1038/s41539-019-0059-8
q3 · i? · associational · r2
Group-level characterization of response profiles against nine previously measured physics conceptual modules. Group B (n = 17) achieved 73% accuracy mixing impetus force and gravitational-action confusions; Group C (n = 10) achieved 53% accuracy with incorrect answers spread across five modules including impetus force and mass-determines-falling.
"Group A (n = 24) achieved an accuracy rate of 77% across all FCI questions, indicative of being highly Newtonian thinkers."
Discussion¶
Related Claims¶
- Students using more coherent physics conceptions showed greater lOFC-V5/MT+ activity, while less coherent reasoners showed greater primary visual and salience network activity — related
- Optimal clustering of five-channel CPS sequences detected three types of collaborative patterns among graduate student groups — related
- Students' learning strategies can be detected and interpreted from activity sequences in the Betty's Brain open-ended learning environment — related
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