Claims

Teacher ratings of school performance and learning potential did not correlate significantly with the trained group's dynamic post-test score, suggesting dynamic testing provides teachers with new information

Claim · All claims
Evidence · 1 study · causal r2 · 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? For trained children, teacher ratings correlated significantly with the static pre-test and prompts (r between 0.299 and −0.345) but not with the dynamic post-test (r = 0.142 and r = 0.192). → Kirsten W. J. Touw 2019

Evidence

Kirsten W. J. Touw 2019

Kirsten W. J. Touw, Bart Vogelaar, Merel Bakker, Wilma C. M. Resing. (2019). Using electronic technology in the dynamic testing of young primary school children: predicting school achievement. Education Tech Research Dev. https://doi.org/10.1007/s11423-019-09655-6

q3 · i? · causal · r2

Spearman correlations of teacher ratings (overall school performance and learning potential) with test measures for the training group (N = 69) and control group (N = 71). Ratings correlated strongly with Cito scores (up to r = 0.781) but were non-significant with the trained group's dynamic post-test.

"Non-significant correlations were found between teacher ratings and the post-test of the trained group (dynamic measures) (r = 0.142 and r = 0.192)"

Discussion

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