Claims

Help-seeking was the only self-regulation construct favored by 3D VR co-creation; the other five constructs were favored by 2D digital co-creation

Claim · All claims
Evidence · 1 study · causal r1 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Design limits · Hsin-Yun Wang & Jerry Chih-Yuan Sun 2026: groups were assigned but students were analysed as independent (read from the study by two models, 2026-10-29)

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? All six self-regulation constructs showed significant environment effects, with 2D digital co-creation exerting greater influence on goal setting, choice of learning environment, learning strategy, time management, and self-evaluation, and 3D VR greater on help-seeking. → Hsin-Yun Wang & Jerry Chih-Yuan Sun 2026

Evidence

Hsin-Yun Wang & Jerry Chih-Yuan Sun 2026

Hsin-Yun Wang & Jerry Chih-Yuan Sun. (2026). Understanding online knowledge communities via social networks and self-regulation in synchronous VR co-creation for distance learning during the COVID-19 pandemic. Education Tech Research Dev, 74, 1037–1061. https://doi.org/10.1007/s11423-026-10588-0

q2 · i? · causal · r1

Construct-level ANCOVAs (Table 5) with post hoc direction: (1) control 2D > (2) experimental 3D VR on five constructs and (2) > (1) on help-seeking. Only F and p values are printed; no standardized effect sizes for the constructs.

"the effect of the co-creation environment was significant in goal setting (F = 3.36, p <.00), choice of learning environment (F = 9.31, p <.00), learning strategy (F = 25.47, p <.00), time management (F = 11.39, p <.00), help-seeking (F = 6.05, p =.02), and self-evaluation (F = 3.84, p =.04)."

Discussion

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