Evidence map›Paper›PMID 42421004›Full record

ArticleBMC medical education2026

Artificial intelligence literacy, rather than artificial intelligence anxiety, is associated with career optimism in physiotherapy and rehabilitation students: a cross-sectional study.

Mehmet Akif Güler, Senem Demirdel, Ertuğrul Demirdel, Merve Burcu Güler

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Article in BMC medical 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.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mehmet Akif GülerDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Selçuk University, Konya, Türkiye. makif.guler@selcuk.edu.tr.ORCID https://orcid.org/0000-0003-0543-2016
Senem DemirdelGülhane Faculty of Physiotherapy and Rehabilitation, Department of Orthopedic Physiotherapy and Rehabilitation, University of Health Sciences, Ankara, Türkiye.ORCID http://orcid.org/0000-0001-7395-8859
Ertuğrul DemirdelDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Ankara Yıldırım Beyazıt University, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-7139-0523
Merve Burcu GülerVocational School of Health Services, Elderly Care Program, Selçuk University, Konya, Türkiye.ORCID http://orcid.org/0000-0003-0841-7401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) is increasingly reshaping health professions education, but its relationship with students' future career outlook remains insufficiently understood, particularly in professions where human interaction remains central to practice. This study examined whether career optimism in physiotherapy and rehabilitation students was more closely associated with AI literacy than with AI anxiety.

methodsThis cross-sectional study included 438 undergraduate physiotherapy and rehabilitation students from universities in Ankara and Konya, Türkiye. Data were collected online between 27 February 2026 and 10 March 2026 using Turkish versions of the Artificial Intelligence Literacy Scale, Artificial Intelligence Anxiety Scale, and the Career Optimism subscale of the Career Futures Inventory. Pearson correlations, subgroup comparisons, and hierarchical multiple linear regression analyses were performed. HC3 robust standard errors were used in sensitivity analyses.

resultsAI literacy was positively associated with career optimism (r = 0.396, p < 0.001), whereas AI anxiety showed a weaker negative association (r = - 0.147, p = 0.002). In hierarchical regression analyses, AI literacy was the only variable independently associated with career optimism in both the crude model (B = 0.281, β = 0.384, p < 0.001) and the adjusted model controlling for age, gender, class year, grade point average, formal AI-related training, and weekly AI use frequency (B = 0.284, β = 0.388, p < 0.001). AI anxiety was not independently associated with career optimism in either model. Sensitivity analyses using HC3 robust standard errors supported these findings.

conclusionsAmong physiotherapy and rehabilitation students, career optimism was more strongly associated with AI literacy than with AI anxiety. Even in a strongly human-centered health profession, students' career-related expectations appear to be linked more closely to perceived AI-related competence than to AI-related anxiety. Educational strategies may therefore benefit from supporting AI literacy as part of future professional readiness.

trial registrationNot applicable.

Indexed as

AnxietyArtificial IntelligenceCareer ChoiceOptimismPhysical Therapy SpecialtyRehabilitationStudents, Health OccupationsAdultCross-Sectional StudiesFemaleHumansMaleTurkeyYoung Adultartificial intelligence anxietyArtificial intelligence literacycareer optimismhealth professions educationphysiotherapy and rehabilitation students

Identifiers

PMID42421004
PMCPMC13563800

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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.