Claims

Game design, not learner age or linguistic background, determines DGBL effectiveness; adventure games outperform non-adventure games

Claim · All claims
Evidence · 1 study · quant-synthesis r? · q2
Currency · newest study 2025 · checked against its sources 2026-10-20 (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.

q2 i? DGBL efficiency depends on game design rather than learner age or linguistic background, with adventure-oriented games more efficient than non-adventure-based games. → A. Pradheepa 2025

Evidence

A. Pradheepa 2025

A. Pradheepa, K. Gurusamy & T. Pushpanathan. (2025). The role of language games in enhancing vocabulary acquisition: A meta-analysis. Australian Journal of Applied Linguistics, 8(1). https://doi.org/10.29140/ajal.v8n1.2073

q2 · i? · quant-synthesis · r?

The review reports, citing Chen et al. (2018), that game design rather than learner age or linguistic background drives DGBL efficiency, and that adventure-oriented games offering insoluble problems and strategic planning are more efficient than non-adventure-based games.

"reveals that age or the learners’ linguistic background does not influence DGBL’s efficiency, but the game design does"

Studies bearing on this claim

Does what the game's moves ask of the learner decide whether it teaches? This table gathers the studies behind this claim and the 2 narrower claims that bear on it: 3 distinct studies (1 quant-synthesis, 1 causal, 1 theoretical), q2–q3, 1 of 3 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.

Study Design Effect as recorded Bears on this claim through
A. Pradheepa 2025 q2 · quant-synthesis · r? i? this claim
Ramani Siegler 2008 q3 · causal · r2 i2 · medium to large effects, d=0.65–1.08 across tasks Number Board Games Improve Numerical Knowledge (supports)
H. Chad Lane 2026 q2 · theoretical · r3 i? Moderate learner agency in game-based learning yields better outcomes than no agency or hi (qualifies)

Discussion

Page metadata
Field Value
type claim
id game-design-moderates-dgbl-effectiveness
title Game design, not learner age or linguistic background, determines DGBL effectiveness; adventure games outperform non-adventure games
description Game design, not learner age or linguistic background, determines DGBL effectiveness; adventure games outperform non-adventure games
status review
evidence_strength weak
newest_evidence 2025
source_checked 2026-10-20
generated by process:wiki-ingest on 2026-09-27
trust unverified — no one has confirmed this page's content
sources 1 — a-pradheepa-2025

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