AI applications contributed to STEM students' higher-order thinking, including problem-solving, computational thinking, and self-regulated learning¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2022 · 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
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Seven reviewed studies revealed effects of AI technologies on students' higher-order thinking, such as problem-solving ability, computational thinking, and self-regulated learning skills. → Weiqi Xu and Fan Ouyang 2022
Evidence¶
Weiqi Xu and Fan Ouyang 2022¶
Weiqi Xu and Fan Ouyang. (2022). The application of AI technologies in STEM education: a systematic review from 2011 to 2021. International Journal of STEM Education. https://doi.org/10.1186/s40594-022-00377-5
q2 · i? · review · r2
The review's synthesis of higher-order thinking outcomes covers seven studies. Examples include a flowchart-based intelligent tutoring system yielding better improvement of problem-solving abilities than a control group, a deep learning-based AR system improving computational thinking, and adaptive robotic tutor scaffoldings associated with more self-regulated learning behaviors than a condition without scaffoldings.
"some studies revealed the educational effects of AI technologies on students’ higher-order thinking (N = 7), such as problem-solving ability, com- putational thinking, and self-regulated learning skills."
Discussion¶
Related Claims¶
- GPT feedback in VR markedly improved problem-solving and critical thinking but had limited impact on creativity — a narrower finding that bears on this claim
- The review identifies three pathways of AI-empowered STEM education: technological leap to generative AI, integration into instructional systems, and value shift toward competency cultivation — related
- Metacognitive strategies correlate strongly with problem-solving skills, and behavioural metrics correlate with task performance — related
- GenAI-assisted education produces significantly higher higher-order thinking abilities than non-GenAI approaches (g = 0.72) — a broader claim this one bears on
- GCLA use enhances higher-order thinking skills—critical thinking, problem-solving, and creativity—compared with traditional ChatGPT use — a narrower finding that bears on this claim
- Self-regulated learning abilities improved significantly in the GPT-feedback VR group, supporting self-reflection, goal setting, and strategy adjustment — a narrower finding that bears on this claim
- Undergraduates learning IoT tasks in VR with ChatGPT-integrated feedback reached significantly higher cognitive levels on memory, understanding, and application tasks than peers receiving traditional VR feedback — related
- Gen-AI has a moderate positive overall effect on students' higher-order thinking (g = 0.609) across 29 experimental and quasi-experimental studies — a broader claim this one bears on
- AI's key contribution in STEM education is intelligent scaffolding that lowers the threshold for understanding knowledge, driving a shift from knowledge transmission to capability development — a broader claim this one bears on
- Computer-based scaffolding shows a consistently positive effect on cognitive outcomes in STEM education — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-stem-higher-order-thinking-effects |
title |
AI applications contributed to STEM students' higher-order thinking, including problem-solving, computational thinking, and self-regulated learning |
description |
AI applications contributed to STEM students' higher-order thinking, including problem-solving, computational thinking, and self-regulated learning |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2022 |
generated |
by process:wiki-ingest on 2026-10-16 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — weiqi-xu-and-fan-ouyang-2022 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.