Purpose: To examine physician assistant (PA) students' attitudes towards academic integrity. Three integrity factors were assessed: academic environment, personal cheating behaviors, and perceived seriousness of specific cheating behaviors.
Methods: After receiving local IRB approval, an anonymous online survey was disseminated to PA students at the University of Detroit Mercy. Ninety-four potential participants were contacted through the university's email account. Respondents were directed to an online site to complete the academic integrity survey. This descriptive study was part of a larger study of students in the whole college, including the PA department, in order to determine baseline data prior to instituting a college-wide honor code.
Results: The response rate was 52% (n = 49). The majority of respondents (86%) indicated "never" having seen another student cheat during an exam. Respondents perceived cheating during a test or exam campuswide as occurring "never" (47%) or "very seldom" (42%). All (100%) respondents reported that they had "never" personally turned in work done by another student or purchased from a "paper mill." All participants (100%) responded "never" to not taking vital signs and reporting approximates. A few respondents (8%) reported getting test questions and answers from another student. Respondents' perceptions of the seriousness of cheating behaviors varied. Working with others when asked to do individual work was considered "not cheating" by 14% of respondents; 35% indicated that not taking vital signs and reporting approximates was less serious than cheating.
Conclusions: PA students have a self-reported high level of integrity in general course assignments, tests and exams, and clinical courses. This apparent high level of academic integrity may be a result of admissions practices and of various program practices throughout the curriculum, including an honor agreement acknowledged by PA students that reinforces what is expected of them.
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ATS Sch
December 2024
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Large language models are becoming ubiquitous in the editing and generation of written content and are actively being explored for their use in medical education. The use of artificial intelligence (AI) engines to generate content in academic spaces is controversial and has been meet with swift responses and guidance from academic journals and publishers regarding the appropriate use or disclosure of use of AI engines in professional writing. To date, there is no guidance to applicants of graduate medical education programs in using AI engines to generate application content-primarily personal statements and letters of recommendation.
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January 2025
Department of Physician Assistant Studies, Massachusetts College of Pharmacy and Health Sciences, 179 Longwood Avenue, Boston, MA, 02115, United States, 1 6177322961.
The integration of large language models (LLMs), as seen with the generative pretrained transformers series, into health care education and clinical management represents a transformative potential. The practical use of current LLMs in health care sparks great anticipation for new avenues, yet its embracement also elicits considerable concerns that necessitate careful deliberation. This study aims to evaluate the application of state-of-the-art LLMs in health care education, highlighting the following shortcomings as areas requiring significant and urgent improvements: (1) threats to academic integrity, (2) dissemination of misinformation and risks of automation bias, (3) challenges with information completeness and consistency, (4) inequity of access, (5) risks of algorithmic bias, (6) exhibition of moral instability, (7) technological limitations in plugin tools, and (8) lack of regulatory oversight in addressing legal and ethical challenges.
View Article and Find Full Text PDFMech Ageing Dev
January 2025
Department Oral & Maxillofacial Surgery/Pathology, Amsterdam Movement Sciences & Amsterdam Bone Center (ABC), Amsterdam University Medical Center location Vrije Universiteit Amsterdam & Academic Center for Dentistry Amsterdam (ACTA), Gustav Mahlerlaan 3004, 1081 LA Amsterdam, the Netherlands; TEC-MMG-LIS Lab, European Space Agency (ESA), European Space Research and Technology Center (ESTEC), Keplerlaan 1, 2201 AZ Noordwijk, the Netherlands.
The Linker of Nucleoskeleton and Cytoskeleton (LINC) complex plays a crucial role in connecting the nuclear envelope to the cytoskeleton, providing structural support to the nucleus and facilitating mechanical signaling between the extracellular environment and the nucleus. Research in mechanobiology onboard the International Space Station (ISS) and in simulated microgravity (SMG) highlight the importance of gravity in functional mechanotransduction. Although the altered gravity research regarding mechanobiology has been greatly focused on the cytoskeleton and the extracellular matrix (ECM), recent research demonstrates that SMG also induces changes in nuclear mechanics and gene expression patterns, which have been shown to be LINC complex dependent.
View Article and Find Full Text PDFAdv Physiol Educ
January 2025
Department of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Australia.
As artificial intelligence (AI) continues to reshape education, concerns about the authenticity of student work have escalated, particularly in relation to written assignments influenced by AI-powered tools. This paper explores the role of the oral examination as a valuable method for assessing true student understanding and considers its potential for broader use across various educational levels. We propose that oral exams could be effectively integrated into undergraduate courses, providing a means to verify student comprehension in an era of AI-generated content.
View Article and Find Full Text PDFPhytomedicine
December 2024
Univ Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Azinhaga de S. Comba, Coimbra 3000-548, Portugal; Univ Coimbra, Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal; Clinical Academic Centre of Coimbra (CACC), Coimbra, Portugal.
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