Claims

Creativity estimate significantly predicts physics learning and game enjoyment

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2020 · 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? The stealth assessment estimate of creativity significantly predicted learning of physics content and game enjoyment, supporting criterion validity. → Shute 2020

Evidence

Shute 2020

Shute, V. J., & Rahimi, S. (2020). Stealth Assessment of Creativity in a Physics Video Game. Computers in Human Behavior. https://www.sciencedirect.com/science/article/pii/S0747563220303940

q3 · i? · associational · r2

The abstract summarizes results from the 167-student pretest-posttest study: the stealth creativity estimate "significantly predicts in-game performance", game enjoyment, and physics learning. The truncated text reports the abstract-level summary of these regression findings.

"creativity (i.e., estimated using our stealth assessment of creativity) significantly predicts in-game performance (e.g., number of levels solved), game enjoyment, and learning of physics content"

Discussion

Page metadata
Field Value
type claim
id creativity-predicts-learning-enjoyment
title Creativity estimate significantly predicts physics learning and game enjoyment
description Creativity estimate significantly predicts physics learning and game enjoyment
status review
evidence_strength moderate
newest_evidence 2020
generated by process:wiki-ingest on 2026-10-16
trust unverified — no one has confirmed this page's content
sources 1 — shute-2020

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