Claims

Probability of correctly solving key-skill tasks rose by an estimated 21.8% over the training period

Claim · All claims
Evidence · 1 study · causal r1 · q3
Currency · newest study 2013 · 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? A NLME model over all key-skill samples estimated a mean improvement of 21.8% (95% CI [0.21 0.23]) in probability of correctness. → Käser 2013

Evidence

Käser 2013

Käser, T., Busetto, A.G., Solenthaler, B., Baschera, G.-M., Kohn, J., Kucian, K., von Aster, M., Gross, M. (2013). Modelling and Optimizing Mathematics Learning in Children. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-013-0003-7

q3 · i? · causal · r1

System-internal improvement analysis: a binomial NLME model with one group per user and key skill was fitted to all tasks children solved at their key skills, measuring learning rate over the training period. No standardized effect size printed.

"The resulting model (Fig. 6) for all skills exhibits an estimated mean improvement of 21.8 % (95 % confidence interval = [0.21 0.23])."

Discussion

Page metadata
Field Value
type claim
id key-skill-accuracy-improves-21-8-percent
title Probability of correctly solving key-skill tasks rose by an estimated 21.8% over the training period
description Probability of correctly solving key-skill tasks rose by an estimated 21.8% over the training period
status review
evidence_strength moderate
newest_evidence 2013
generated by process:wiki-ingest on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — käser-2013

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