Purpose: The purpose of this study is to explore student perceptions of generative AI use and cheating in health professions education. The authors sought to understand how students believe generative AI is acceptable to use in coursework.
Materials And Methods: Five faculty members surveyed students across health professions graduate programs using an updated, validated survey instrument. Students anonymously completed the survey online, which took 10-20 min. Data were then tabulated and reported in aggregate form.
Results: Nearly 400 students from twelve academic programs including health and rehabilitation science, occupational therapy, physical therapy, physician assistant studies, speech-language pathology, health administration and health informatics, undergraduate healthcare studies, nurse anesthesiology, and cardiovascular perfusion. The majority of students identify the threat of generative AI to graded assignments such as tests and papers, but many believe it is acceptable to use these tools to learn and study outside of graded assignments.
Conclusions: Generative AI tools provide new options for students to study and learn. Graduate students in the health professions are currently using generative AI applications but are not universally aware or in agreement of how its use threatens academic integrity. Faculty should provide specific guidance on how generative AI applications may be used.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/0142159X.2024.2385667 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Professional values and factors affecting these values in midwifery students.
Afr J Reprod Health
December 2024
Midwifery Department, Faculty and Health Sciences, Karabük University, Turkey.
This study investigated the professional values of midwifery students and the factors influencing these values. Conducted from January 6 to March 6, 2021, it involved 715 midwifery students who participated voluntarily. Data was collected using a Descriptive Data Sheet and the Professional Values of Midwives Scale.
View Article and Find Full Text PDFInfluenza Virus Surveillance from the 1918 Influenza Pandemic to the 2020 Coronavirus Pandemic in New York State, USA.
Viruses
December 2024
Wadsworth Center, David Axelrod Institute, New York State Department of Health, Albany, NY 12208, USA.
A historical perspective of more than one hundred years of influenza surveillance in New York State demonstrates the progression from anecdotes and case counts to next-generation sequencing and electronic database management, greatly improving pandemic preparedness and response. Here, we determined if influenza virologic surveillance at the New York State public health laboratory (NYS PHL) tests sufficient specimen numbers within preferred confidence limits to assess situational awareness and detect novel viruses that pose a pandemic risk. To this end, we analyzed retrospective electronic data on laboratory test results for the influenza seasons 1997-1998 to 2021-2022 according to sample sizes recommended in the Influenza Virologic Surveillance Right Size Roadmap issued by the Association of Public Health Laboratories and Centers for Disease Control and Prevention.
View Article and Find Full Text PDFLow Prevalence of SARS-CoV-2 in Farmed and Free-Ranging White-Tailed Deer in Florida.
Viruses
December 2024
Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611, USA.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been detected in multiple animal species, including white-tailed deer (WTD), raising concerns about zoonotic transmission, particularly in environments with frequent human interactions. To understand how human exposure influences SARS-CoV-2 infection in WTD, we compared infection and exposure prevalence between farmed and free-ranging deer populations in Florida. We also examined the timing and viral variants in WTD relative to those in Florida's human population.
View Article and Find Full Text PDFFirst Report of Influenza D Virus in Dairy Cattle in Pakistan.
Viruses
November 2024
Department of Environmental and Global Health College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA.
Influenza D virus (IDV) is a newly emerged zoonotic virus increasingly reported worldwide. Cattle are considered the main reservoir of IDV, although it was first isolated from pigs. IDV infects multiple animal species and contributes to the bovine respiratory disease complex (BRDC).
View Article and Find Full Text PDFMolecular Characterization and Pathogenicity Analysis of Porcine Rotavirus A.
Viruses
November 2024
National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Porcine rotavirus A (RVA) is one of the major etiological agents of diarrhea in piglets and constitutes a significant threat to the swine industry. A molecular epidemiological investigation was conducted on 2422 diarrhea samples from Chinese pig farms to enhance our understanding of the molecular epidemiology and evolutionary diversity of RVA. The findings revealed an average RVA positivity rate of 42% (943/2422), and the study included data from 26 provinces, primarily in the eastern, southern and southwestern regions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!