Claims

IPMA identifies cognitive vigilance as the highest-importance, lowest-performance priority for intervention targeting transformative learning

Claim · All claims
Evidence · 1 study · associational 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? Cognitive vigilance showed the highest importance (0.438) for transformative learning with a relatively low performance score (56.704). → Wang 2026

Evidence

Wang 2026

Wang, S. and Zhang, H. (2026). Pedagogical partnerships with generative AI in higher education: how dual cognitive pathways paradoxically enable transformative learning. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00585-x

q2 · i? · associational · r2

Importance-performance map analysis with transformative learning experience as target construct, plotted in Fig. 6 with performance rescaled to 0–100. Vigilance fell in the "high-importance, lo[w performance]" quadrant, marking it as an intervention priority.

"Cognitive Vigilance emerges as the most critical factor, exhibiting the highest importance (0.438) in driving Transformative Learning Experience, coupled with a relatively low performance score (56.704)"

Discussion

Page metadata
Field Value
type claim
id ipma-vigilance-high-importance-low-performance
title IPMA identifies cognitive vigilance as the highest-importance, lowest-performance priority for intervention targeting transformative learning
description IPMA identifies cognitive vigilance as the highest-importance, lowest-performance priority for intervention targeting transformative learning
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 — wang-2026

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