First-attempt EEG features and initial performance score predict learning rate, with higher initial scores associated with lower learning rates¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr1·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q2 i? Each one-unit increase in first-attempt performance score was associated with a 0.35-point decrease in learning rate (p = 5 × 10−4), and greater temporal flexibility in BA 46 at alpha-band frequencies was associated with a 0.87-point decrease in learning rate (p = 7 × 10−4) in the Tubes task. → Shafiei 2024
q2 i? In Dots and Needles, greater search information in BA 45 (estimate 1.92, p = 0.0006) and BA 40 (estimate 1.45, p = 0.0009) at first attempt was associated with higher learning rates, as was temporal flexibility in BA 41 at theta band (estimate 0.41, p = 0.021). → Shafiei 2024 (2)
Evidence¶
Shafiei 2024¶
Shafiei, S. B., Shadpour, S., Sasangohar, F., Mohler, J. L., Attwood, K. & Jing, Z. (2024). Development of performance and learning rate evaluation models in robot-assisted surgery using electroencephalography and eye-tracking. npj Science of Learning 9:3. https://doi.org/10.1038/s41539-024-00216-y
q2 · i? · associational · r1
Multivariate linear regression for Tubes learning rate, defined as the slope of performance scores across attempts, using first-attempt features (26 subjects; R2 = 0.64, MAE 4.89, RMSE 5.73). First-attempt score was included as a baseline to adjust for individual differences.
"Furthermore, each one-unit increase in initial performance score was associated with a 0.35-point decrease in learning rate, implying that subjects with higher initial scores tend to exhibit lower learning rates."
Shafiei 2024 (2)¶
Shafiei, S. B., Shadpour, S., Sasangohar, F., Mohler, J. L., Attwood, K. & Jing, Z. (2024). Development of performance and learning rate evaluation models in robot-assisted surgery using electroencephalography and eye-tracking. npj Science of Learning 9:3. https://doi.org/10.1038/s41539-024-00216-y
q2 · i? · associational · r1
Multivariate linear regression for Dots and Needles learning rate (26 subjects; R2 = 0.69, MAE 5.69, RMSE 7.15) with first-attempt EEG features. In Suture Sponge, search information in BA 19 at gamma band was associated with a 1.19-point increase in learning rate (p = 0.01), while BA 45 theta features were associated with decreases.
"A one-standard deviation increase in the average search information in BA 45 at beta-band frequencies was associated with a 1.92-point increase in the learning rate value for this task."
Discussion¶
Related Claims¶
- EEG-derived temporal flexibility and search information in specific Brodmann areas and frequency bands are associated with simulator task performance — related
- In the Tubes task, larger average pupil diameter of the nondominant eye and higher rate of saccade are associated with lower RAS simulator performance — related
- In the Dots and Needles task, higher entropy of the nondominant eye's pupil diameter is associated with lower performance — related
- A head-confined multimodal configuration (EEG, eye tracking, forehead EDA) predicts held-out learners' five-level engagement ratings at 75.0% balanced 1-off accuracy, 12.0 points above the mode baseline — related
- Subject-wise standardization of eye-tracking features marginally improved the fit of performance and learning rate models — related
- Attempting a new exercise on average increases estimated student ability during formative assessment — related
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