AIMC Topic: Students, Nursing
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Features influencing surface acting of different clusters of nursing students in vocational college based on interpretable machine learning: A cross-sectional study.
Nurse education in practice
Nov 21, 2024
AIM: To explore and explain the mechanisms that influence surface acting in nursing students with different characteristics.
Comment about 'Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis'.
BMC medical education
Nov 19, 2024
We read with great interest the recently published article by Amiri et al., titled "Medical, Dental, and Nursing Students' Attitudes and Knowledge Toward Artificial Intelligence: A Systematic Review and Meta-Analysis." We would like to offer comments...
The effect of the use of artificial intelligence in the preparation of patient education materials by nursing students on the understandability, actionability and quality of the material: A randomized controlled trial.
Nurse education in practice
Nov 5, 2024
AIM: This study was conducted to examine the effect of nursing students' use of artificial intelligence (AI) tools while preparing patient education materials on the understandability, actionability and quality of the material in terms of content.
Incorporating Generative AI to Promote Inquiry-Based Learning: Comparing Elicit AI Research Assistant to PubMed and CINAHL Complete.
Medical reference services quarterly
Nov 4, 2024
Generative artificial intelligence (GenAI) is transforming education, and faculty can either incorporate GenAI in intentional course design to promote inquiry-based learning (IBL) or resist its use. This study identified an effective strategy to inte...
Assessing nursing students' e-health literacy and foresights to global health challenges during COVID-19 restrictions: A cross-sectional study with a machine learning approach.
Nurse education in practice
Nov 2, 2024
AIM: This study aims to assess the e-health literacy and foresights to global health challenges of nursing students during the COVID19 restrictions.
Relationship Between Individual Innovativeness Levels and Attitudes Toward Artificial Intelligence Among Nursing and Midwifery Students.
Computers, informatics, nursing : CIN
Nov 1, 2024
The aim of this study is to explore the connection between individual innovativeness levels and attitudes toward artificial intelligence among nursing and midwifery students. Data were collected from 500 nursing and midwifery students studying at a u...
Tapping Into Awareness: Assessing Nursing Students' Water Consumption Behaviors and Sustainability Perceptions Through a Cross-Sectional Study With Machine Learning Approach.
Public health nursing (Boston, Mass.)
Oct 27, 2024
INTRODUCTION: Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detai...
AI-generated vs. student-crafted assignments and implications for evaluating student work in nursing: an exploratory reflection.
International journal of nursing education scholarship
Oct 14, 2024
OBJECTIVES: Chat Generative Pre-Trained Transformer (ChatGPT) is an artificial intelligence-powered language model that can generate a unique outputs, in reponse to a user's textual request. This has raised concerns related to academic integrity in n...
Perceived Usefulness of Robotic Technology for Patient Fall Prevention.
Workplace health & safety
Sep 13, 2024
BACKGROUND: Technology has the potential to prevent patient falls in healthcare settings and to reduce work-related injuries among healthcare providers. However, the usefulness and acceptability of each technology requires careful evaluation. Framed ...
The effect of artificial intelligence supported case analysis on nursing students' case management performance and satisfaction: A randomized controlled trial.
Nurse education in practice
Sep 12, 2024
BACKGROUND: Rapid developments in artificial intelligence have begun to necessitate changes and transformations in nursing education.
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