Evidence map›Paper›PMID 42783106›Full record

ArticleEuropean journal of investigation in health, psychology and education2026

From Critical Thinking to Passive Acceptance: The Moderating Role of Decision Fatigue in Students' Use of Generative AI.

Marco Zuin, Vanessa Donadel

Abstract read
In one paragraph

Article in European journal of investigation in health, psychology and education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marco ZuinDepartment of Psychology, Istituto Universitario Salesiano Venezia, 30174 Venice, Italy.ORCID 0009-0007-0200-8582
Vanessa DonadelDepartment of Business & Management, Libera Università Internazionale degli Studi Sociali "Guido Carli", 00197 Rome, Italy.

Funding

Department of Psychology IUSVE
6 · The paper itself

Abstract

Academic research on Artificial Intelligence (AI) has primarily focused on usage motivations, AI literacy, trust, overreliance, and critical use. However, the mechanisms through which critical thinking influences passive reliance on AI-generated output in academic contexts remain largely unexplored. This study examined the role of Critical Thinking and Decision Fatigue in students' passive acceptance of AI-generated output. A sample of 383 Italian university students completed an online survey including the Critical Thinking Disposition Scale and the Decision Fatigue Scale. Of these, 332 students reported having used GenAI in the previous three months and were presented with six task-specific items assessing reliance on unmodified AI-generated output across six academic tasks (Idea generation, Text generation, Text revision, Creating quizzes, Receiving feedback, and Information search). Multiple hierarchical regression analyses tested the moderating role of Decision Fatigue. Decision Fatigue was not a significant direct predictor but moderated the relationship between Critical Thinking and passive acceptance in several academic activities, with the strength of this evidence varying according to the applied correction for multiple comparisons. The findings highlighted the role of critical thinking as a protective filter against the passive use of generative AI. However, this disposition is not always available, particularly under conditions of cognitive fatigue. The study offers new educational insights into the need to design instructional interventions that foster critical thinking while promoting cognitively sustainable learning environments.

Indexed as

critical thinkingdecision fatigueGenerative Artificial Intelligencehigher educationstudents

Identifiers

PMID42783106
PMCPMC13605499

What OpenQuestion holds

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Registered trials

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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.