Claims

Participants in the game-based training condition estimated fraction magnitudes more accurately during training than participants in the non-game-based condition

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2023 · checked against its sources 2026-10-29 (automated, 1 of 1 entry) · 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? Across five training sessions, the game-based condition committed smaller percentage absolute error than the non-game-based condition. → Manuel Ninaus 2023

Evidence

Manuel Ninaus 2023

Manuel Ninaus, Rodolpho Cortez, Izabel Hazin, Kristian Kiili, Silke M. Wortha, Elise Klein, Elisabeth M. Weiss, Korbinian Moeller. (2023). The added value of game elements: better training performance but comparable learning gains. Education Tech Research Dev. https://doi.org/10.1007/s11423-023-10263-8

q3 · i? · causal · r2

Linear mixed model predicting PAE across five training sessions with condition as fixed factor, 85 participants (game n = 41, non-game n = 44). The article reports "the effect of the condition was statistically significant" (p = 0.007) with Std. beta = 0.59 favoring the game-based condition; no standardized effect size such as d was printed.

"the effect of the condition was statistically significant (beta = 0.66, 95% CI [0.18, 1.14], t(417) = 2.71, p = 0.007; Std. beta = 0.59, 95% CI [0.26, 0.92]) reflecting that participants in the game-based condition committed smaller PAE during the training"

Discussion

Learner Variables

Page metadata
Field Value
type claim
id game-based-training-higher-accuracy-during-training
title Participants in the game-based training condition estimated fraction magnitudes more accurately during training than participants in the non-game-based condition
description Participants in the game-based training condition estimated fraction magnitudes more accurately during training than participants in the non-game-based condition
status review
evidence_strength moderate
newest_evidence 2023
source_checked 2026-10-29
generated by process:wiki-ingest on 2026-10-29
trust unverified — no one has confirmed this page's content
sources 1 — manuel-ninaus-2023

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