Claims

Formal learning context is a significant positive predictor of whether a robotics study reports quantifiable learning gains

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2026 · 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.

q2 i? In an exploratory logistic regression, formal (vs. informal) context significantly predicted reporting of quantifiable learning gains (OR = 3.17, p = .049); immersion showed a suggestive positive association (p = .094) and programming skill tier a negative non-significant one (p = .051). → Syed Tanzim Mubarrat 2026

Evidence

Syed Tanzim Mubarrat 2026

Syed Tanzim Mubarrat, Byung-Cheol Min, Tianyu Shao, E. Cho Smith, Bedrich Benes, Alejandra J. Magana, Christos Mousas, and Dominic Kao. (2026). Game-Based and Gamified Robotics Education: A Comparative Systematic Review and Design Guidelines. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26). https://doi.org/10.1145/3772318.3791338

q2 · i? · review · r2

Exploratory logistic regression (McFadden's pseudo-R² = 0.091, AIC = 118.32) predicting quantifiable learning gains across the 95 studies, reported in Results §4.2. The model is explicitly labeled exploratory.

"learning context (formal vs. informal) was a significant positive predictor (OR = 3.17, 95% CI [1.00, 10.08], 𝑝=. 049). Immersion (any vs. none) showed a suggestive positive association (OR = 3.00, 95% CI [0.83, 10.86], 𝑝=. 094)."

Discussion

Page metadata
Field Value
type claim
id formal-context-predicts-learning-gains-robotics
title Formal learning context is a significant positive predictor of whether a robotics study reports quantifiable learning gains
description Formal learning context is a significant positive predictor of whether a robotics study reports quantifiable learning gains
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — syed-tanzim-mubarrat-2026

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