Jiao Wu

Dr. Jiao Wu


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 July 2026 in Behavioral Sciences
Verified
Journal Article
Open access
PDF file
XSXiheng Shao
Xiheng Shao
FLFulong Liu
Fulong Liu
JWJiao Wu
Jiao Wu
MSMageswaran Sanmugam
Mageswaran Sanmugam
Empirical evidence for AI formative assessment combined with gamification remains scarce in subjective aesthetic disciplines. This study examined whether such integration enhances metacognitive regulation in undergraduate color education and whether the effect is conditional on learners’ prior AI credibility belief. A four-arm, four-wave cluster-randomized controlled trial (N = 540, 24 classes, eight cross-allocated teachers) compared gamification with AI feedback, gamification with dose-matched human feedback, gamification only, and traditional instruction; the primary outcome was metacognitive regulation measured 4 weeks post-intervention. Gamification produced a small-to-medium effect over traditional instruction (d = 0.34, p_Holm = 0.015). AI and human feedback did not differ on average (d = 0.07; underpowered). Autoregressive mediation confirmed metacognitive regulation as a longitudinal mediator of intervention effects on motivation and achievement. On an exploratory basis, prior AI credibility belief moderated the AI-versus-human indirect effect on motivation (p_Holm = 0.034) but not achievement (p_Holm = 0.054), with higher-belief learners benefiting; given the limited power of the AI-versus-human comparison, this conditional pattern is reported as a tentative finding rather than as confirmatory evidence. These findings extend self-determination theory and the self-regulated learning framework to aesthetic education and provide preliminary support for the deployment of prior-trust-aware AI feedback, pending replication.