Background: As the use of artificial intelligence (AI) becomes more prevalent in academic settings, there is a growing concern about maintaining a culture of integrity.
Method: This article explores the role of academic institutions and programs in fostering a culture of integrity in relation to AI.
Results: By implementing specific policies, integrating tools, and utilizing software for AI detection, academic institutions can establish a culture of integrity in relation to AI. These collective efforts foster an environment where ethical AI practices are upheld and reinforce the importance of academic honesty, particularly in the nursing profession.
Conclusion: Academic institutions have the capacity to establish integrity-focused policies and integrate anti-AI agent tools in courses to mitigate unethical AI usage, while software advancements assist faculty in identifying AI presence during assessments. Emphasizing the interplay between academic and professional integrity strengthens nurses' dedication to academic honesty. .
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3928/01484834-20240424-02 | DOI Listing |
Implement Sci Commun
January 2025
Department of Interdisciplinary Social Science, Utrecht University, Utrecht, Netherlands.
Background: Evidence shows that parenting behaviours, including the use of violent discipline, can be changed through programmatic interventions. This study seeks to examine how policymakers and service providers in Tanzania perceive the provision of parenting support as a strategy to prevent violence against children and what the enabling and hindering factors are for the scale-up of existing evidence-based parenting supports. It does this by applying Daly's analytical framework for parenting support.
View Article and Find Full Text PDFIsr J Health Policy Res
January 2025
School of Medicine, Faculty of Medical and Health Sciences and the Coller School of Management, Tel Aviv University, Tel Aviv, Israel.
Background: Israel is unique in offering a formal subspecialty in Medical Administration and mandating it for physicians applying for senior roles. Data on the prevalence and characteristics of these specialists are limited.
Methods: The national registry of licensed physicians was used to identify all living physicians who completed the Medical Administration subspecialty by December 31, 2022.
J Eat Disord
January 2025
School of Social Work, Faculty of Social Welfare and Health Sciences, University of Haifa, 3498838, Haifa, Israel.
Objective: The Eating Attitudes Test-26 (EAT-26) is considered the screening instrument of choice to identify eating disorders (ED) symptoms in clinical and community populations, showing a classical three-factor structure. This study assessed whether the factor structure of the EAT-26 in patients with ED was stable at admission and discharge from inpatient treatment.
Methods: We administered the EAT-26 to 207 female adolescents with ED at both admission and discharge.
BMC Med Educ
January 2025
College of Nursing - Jeddah, King Saud Bin Abdul-Aziz University for Health Sciences, P.O.Box.9515, Jeddah, 21423, Saudi Arabia.
Background: Academic accreditation is a pivotal process in nursing education, ensuring program quality, consistency, and graduate readiness for professional practice. Despite its significance, limited research explores the lived experiences and perspectives of stakeholders, including academic nurse educators, administrators, students, and alumni-engaged in accreditation.
Purpose: This study aimed to explore the lived experiences, perceptions, and insights of nursing education stakeholders regarding the accreditation process, focusing on its impact on educational quality, program reputation, and professional preparation.
BMC Bioinformatics
January 2025
Solu Healthcare Oy, Kalevankatu 31 A 13, 00100, Helsinki, Finland.
Background: Genomic surveillance is extensively used for tracking public health outbreaks and healthcare-associated pathogens. Despite advancements in bioinformatics pipelines, there are still significant challenges in terms of infrastructure, expertise, and security when it comes to continuous surveillance. The existing pipelines often require the user to set up and manage their own infrastructure and are not designed for continuous surveillance that demands integration of new and regularly generated sequencing data with previous analyses.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!