Claims

Students reported high satisfaction with GenAI in STEAM learning, following gradual-improvement and fluctuation patterns

Claim · All claims
Evidence · 1 study · design 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.

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q2 i? The 12 students showed high overall satisfaction with GenAI use (M = 4.75, SD = 0.40), with satisfaction changes following gradual improvement and fluctuation patterns. → Zhao Qianhui and Li Shuhui 2026

Evidence

Zhao Qianhui and Li Shuhui 2026

Zhao Qianhui and Li Shuhui. (2026). Exploring Middle School Students' Interactions and Perceptions of Using Generative AI in STEAM Learning Environments. Behavioral Sciences. https://doi.org/10.3390/bs16091626

q2 · i? · design · r2

Retrospective single-item 5-point satisfaction ratings from 12 eighth-grade students, supplemented by thematic analysis of semi-structured interviews using emotion graphs as recall aids. The study reports "high satisfaction with GenAI use in STEAM learning environments (M = 4.75, SD = 0.40)".

"the 12 students demonstrated high satisfaction with GenAI use in STEAM learning environments (M = 4.75, SD = 0.40). Interview data further revealed that students' satisfaction changed throughout the learning process, mainly following two patterns: gradual improvement and fluctuation."

Discussion

Page metadata
Field Value
type claim
id high-satisfaction-genai-steam-gradual-and-fluctuating
title Students reported high satisfaction with GenAI in STEAM learning, following gradual-improvement and fluctuation patterns
description Students reported high satisfaction with GenAI in STEAM learning, following gradual-improvement and fluctuation patterns
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 1 — zhao-qianhui-and-li-shuhui-2026

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