GBL and gamified approaches show comparable rates of quantifiable learning gains and affective outcomes in robotics education¶
Claim · All claims
Evidence · 1 study (2 entries) · quant-synthesisr2·q3
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.
q3 i? Quantifiable learning gains were comparable between GBL (29.41%) and gamified (31.15%) approaches, with no significant difference. → Syed Tanzim Mubarrat 2026
q3 i? Affective outcomes did not differ significantly by approach (GBL: 52.94%; gamified: 57.38%). → Syed Tanzim Mubarrat 2026 (2)
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
q3 · i? · quant-synthesis · r2
2×2 comparison of quantifiable learning gains (Yes/No) by approach across the 95 studies, reported in Results §4.2.1 with "𝜒 2(1)= 0.03, 𝑝=. 860".
"quantifiable learning gains were comparable between GBL and gamified approaches (GBL: 29.41%, 95% CI [18.62%, 48.05%]; gamified: 31.15%, 95% CI [20.97%, 43.61%]; 𝜒 2(1)= 0.03, 𝑝=. 860, Cramér’s 𝑉≈ 0.00, OR = 0.92 (95% CI [0.37, 2.30])"
Syed Tanzim Mubarrat 2026 (2)¶
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
q3 · i? · quant-synthesis · r2
2×2 comparison of affective outcomes (Yes/No) by approach, reported in Results §4.2.1 with "𝜒 2(1)= 0.17, 𝑝=. 676" and Cramér's V ≈ 0.00.
"affective outcomes did not differ significantly by approach (GBL: 52.94%, 95% CI [38.21%, 69.55%]; gamified: 57.38%, 95% CI [44.93%, 69.04%]; 𝜒 2(1)= 0.17, 𝑝=. 676"
Discussion¶
Related Claims¶
- Gamified robotics studies skew toward higher programming/software development skill tiers than GBL studies — related
- Robotics systems skill levels do not differ between GBL and gamified studies — related
- GBL approaches are more prevalent in informal settings while gamification dominates formal classrooms in robotics education — related
- Gamified robotics studies favor project-based learning while GBL studies favor constructivist pedagogy — related
- Immersive technologies are rarely adopted in robotics GBL/gamification but studies using them report heightened engagement, improved spatial reasoning, and enhanced perceived realism — related
- Formal learning context is a significant positive predictor of whether a robotics study reports quantifiable learning gains — related
- Motivational outcomes are the most consistently positive dimension across AI-GBL studies — related
- Proportions of significant CT gains vary by instructional approach, but approach alone does not determine effectiveness — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
comparable-outcomes-gbl-versus-gamified-robotics |
title |
GBL and gamified approaches show comparable rates of quantifiable learning gains and affective outcomes in robotics education |
description |
GBL and gamified approaches show comparable rates of quantifiable learning gains and affective outcomes in robotics education |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — syed-tanzim-mubarrat-2026, syed-tanzim-mubarrat-2026-2 |
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