Task-specific improvement was identified only in individual learning curves and was not apparent in averaged performance data¶
Claim · All claims
Evidence · 1 study · associationalr2·q3
Currency · newest study 2023 · 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? The task-specific improvement was identified only when analyzing individual learning curves; the average performance data appeared considerably smoother and did not show it. → Julia Ericson and Torkel Klingberg 2023
Evidence¶
Julia Ericson and Torkel Klingberg 2023¶
Julia Ericson and Torkel Klingberg. (2023). A dual-process model for cognitive training. npj Science of Learning. https://doi.org/10.1038/s41539-023-00161-2
q3 · i? · associational · r2
Comparison of the averaged training data for the whole population against the fitted piecewise linear model with average parameter values (βTS = 0.269; βcap = 0.013; α = 5.497; τ = 0.481). The article reports the improvement "was not apparent in the average performance data".
"the task-speci fic improvement was identi fied only when analyzing individual learning curves and was not apparent in the average performance data, which had a considerably smoother appearance (Fig. 6c)."
Discussion¶
Related Claims¶
- Hidden Markov model of individual training curves shows task-specific improvement plateaued on average on the third day of training — related
- Performance increases monotonically with the number of practice exams following a slightly concave learning curve without considerable kinks — related
- Feedback improves balloon placement accuracy and yields a smoother learning curve in simulated renal artery angioplasty — related
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