Table 2_AI literacy and competency in nursing education: preparing students and faculty members for an AI-enabled future-a systematic review and meta-analysis.docx

Table 2_AI literacy and competency in nursing education: preparing students and faculty members for an AI-enabled future-a systematic review and meta-analysis.docx

Introduction<p>Artificial Intelligence (AI) has made its way into every dimension of human life, and its impact is significant and multifaceted. Specifically, the effect of AI in nursing education has reshaped the healthcare system. However, this technological shift in nursing and the healthca...

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Bibliografski detalji
Glavni autor:	Majeda M. El-Banna (21480251) (author)
Daljnji autori:	Mirza Rizwan Sajid (16855218) (author), Moattar Raza Rizvi (16855215) (author), Waqas Sami (11231658) (author), Angela M. McNelis (22686704) (author)
Izdano:	2025
Teme:	Foetal Development and Medicine AI literacy and competency nursing curriculum integration faculty readiness ethical and institutional challenges systematic literature review meta-analysis AI competence in healthcare
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

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Table 1_AI literacy and competency in nursing education: preparing students and faculty members for an AI-enabled future-a systematic review and meta-analysis.docx
od: Majeda M. El-Banna (21480251)
Izdano: (2025)

Table 3_AI literacy and competency in nursing education: preparing students and faculty members for an AI-enabled future-a systematic review and meta-analysis.docx
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Izdano: (2025)

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Teacher Education Students' Use of Technology and AI
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Supplementary file 1_Serendipitous sparks: AI information encounter, cognitive flexibility, AI literacy, and university student creativity.docx
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Izdano: (2025)

Supplementary file 1_Testing Krashen’s input hypothesis with AI: a mixed-methods study on reading input and oral proficiency in EFL.docx
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Izdano: (2025)

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Table 1_Self-assessed vs. reported digital competence among health students in Germany, Ukraine and Kazakhstan: a DigComp 2.2–based cross-sectional study.xlsx
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Table 2_Self-assessed vs. reported digital competence among health students in Germany, Ukraine and Kazakhstan: a DigComp 2.2–based cross-sectional study.xlsx
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Izdano: (2025)

Data Sheet 1_Self-assessed vs. reported digital competence among health students in Germany, Ukraine and Kazakhstan: a DigComp 2.2–based cross-sectional study.csv
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Izdano: (2025)

Data Sheet 2_Self-assessed vs. reported digital competence among health students in Germany, Ukraine and Kazakhstan: a DigComp 2.2–based cross-sectional study.pdf
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Izdano: (2021)

Digital Trust Survey 2025 Dataset
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Supplementary file 1_Towards standardizing mitral transcatheter edge-to-edge repair with deep-learning algorithm: a comprehensive multi-model strategy.docx
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A QM-AI Approach for the Acceleration of Accurate Assessments of Halogen‑π Interactions by Training Neural Networks
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Supplementary file 1_Multimodal deep learning model for enhanced early detection of aortic stenosis integrating ECG and chest x-ray with cooperative learning.docx
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Table 1_Prevalence of nutritional literacy and associated factors among adult residents: a cross-sectional study from marginalized Community in Islamabad, Pakistan.docx
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Table 2_Prevalence of nutritional literacy and associated factors among adult residents: a cross-sectional study from marginalized Community in Islamabad, Pakistan.docx
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Izdano: (2025)

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Coding Sheet
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Izdano: (2025)

Fleshed Networks: Exhibition Documentation (2025), WebXR Experience on the STYLY Platform for <i>Constellations</i>, ISEA (International Symposium of Electronic Art), Brisbane 2024
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