Evidence map›Paper›PMID 41919119›Full record

ArticleFrontiers in psychology2026

Exploring of the impact of AI feedback on college students' critical thinking: a intervention experiment based on design discipline.

Jinhua Yang, Tianyue Niu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jinhua YangThe School of Humanities, Tongji University, Shanghai, China.
Tianyue NiuXiamen Academy of Arts and Design, Fuzhou University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Artificial intelligence-driven feedback and assessment have become increasingly important teaching approaches in design education. However, empirical evidence regarding their impact on students' critical thinking remains limited. Methods: To address this gap, this study employed a mixed-methods design involving a three-week intervention with 70 undergraduate design students. Participants were randomly assigned to an experimental group ( Results: The results indicated that the experimental group demonstrated a statistically significant improvement in critical thinking abilities compared to the control group after the intervention ( Discussion: These findings suggest that AI- effectively enhance critical thinking in design education. The study contributes empirical evidence to the growing body of research on AI-supported learning and provides practical implications for integrating AI tools into workshop-based design instruction to foster higher-order thinking skills.

Indexed as

artificial intelligencecritical thinkingdesign learningfeedbackmixed-methods study

Identifiers

PMID41919119
PMCPMC13033773

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.