OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 18.04.2026, 04:31

Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.

Examining Health Sciences Students' Perceived Awareness, Readiness and Anxiety Levels Regarding Artificial Intelligence

2025·1 Zitationen·Herkes için Spor ve Rekreasyon DergisiOpen Access
Volltext beim Verlag öffnen

1

Zitationen

5

Autoren

2025

Jahr

Abstract

Artificial intelligence (AI) is increasingly impacting healthcare, making it essential to assess students’ preparedness, awareness, and attitudes. This study investigated Faculty of Health Sciences students’ AI awareness, readiness, and anxiety, examining variations by gender, department, age, and class level. A cross-sectional survey was conducted with 328 undergraduate students from İzmir Demokrasi University, using demographic questions, the Artificial Intelligence Readiness Scale, and the Artificial Intelligence Anxiety Scale. Analyses included descriptive statistics, Pearson correlation, independent samples t-tests, and one-way ANOVA. Over half of the students (54.9%) reported limited knowledge of AI applications, with social media as the main information source. Most students (82.6%) were satisfied with AI integration, yet 57% experienced anxiety. Female students showed significantly higher anxiety than males, and both department and class level influenced readiness and anxiety, while no significant correlation was found between readiness and anxiety. Despite a strong interest in AI, students’ readiness is limited by insufficient formal education. Structured curricula, interdisciplinary workshops, and targeted interventions are recommended to enhance AI literacy and reduce anxiety, particularly among female students and those in departments with higher concern.

Ähnliche Arbeiten

Autoren

Institutionen

Themen

Artificial Intelligence in Healthcare and EducationAI in Service InteractionsEthics and Social Impacts of AI
Volltext beim Verlag öffnen