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Students are central to an AI arms race in which programs generating answers for assignments and those designed to catch them out are scrambling for superiority.
The Objective Structured Clinical Examination (OSCE) has been traditionally viewed as a highly valued tool for assessing clinical competence in health professions education. However, as the OSCE typically consists of a large-scale, face-to-face assessment activity, it has been variably criticized over recent years due to the extensive resourcing and relative expense required for delivery. Importantly, due to COVID-pandemic conditions and necessary health guidelines in 2020 and 2021, logistical issues inherent with OSCE delivery were exacerbated for many institutions across the globe. As a result, alternative clinical assessment strategies were employed to gather assessment datapoints to guide decision-making regarding student progression. Now, as communities learn to “live with COVID”, health professions educators have the opportunity to consider what weight should be placed on the OSCE as a tool for clinical assessment in the peri-pandemic world. In order to elucidate this timely clinical assessment issue, this qualitative study utilized focus group discussions to explore the perceptions of 23 clinical assessment stakeholders (examiners, students, simulated patients and administrators) in relation to the future role of the traditional OSCE. Thematic analysis of the FG transcripts revealed four major themes in relation to participants' views on the future of the OSCE vis-a-vis other clinical assessments in this peri-pandemic climate. The identified themes are (a) endurin
teaching ChatGPT best practices in her writing workshop class at the University of Lynchburg in Virginia, said she sees the advantages for teachers using AI tools but takes issue with how it can be used to create feedback for students.
Australian students are being blackmailed by illegal cheating syndicates largely run by organised crime. Experts warn it is a risk to national security as blackmailers return, threatening to out students for past cheating.
The real number of students using artificial intelligence is likely far higher, experts say, with detection tools only able to catch unsophisticated cheats.
In the desperate scramble to combat AI, there is a real danger of penalising students who have done nothing wrong, says Robert Topinka of Birkbeck, University of London
Integrity experts say sites offering cheating services to students are hard to trace, and some are run by criminals willing to make threats of violence
Recent reports, including a notable article in The Guardian, by Caitlin Cassidy have shed light on a growing concern: students are seemingly using AI tools inappropriately to complete their academic work in increasing numbers. While this issue is particularly prominent in higher education, it's also
Assessment beyond the individual unit/module: What it is, and why it matters more than ever in the age of AI?Together with collegues from the University o
As educators and students grapple with what is allowed when using generative AI (GenAI) tools, I have compiled five tips to help you design or redesign academic integrity statements for your syllabus, assignments, exams, and course activities.
Detailed suggestions on rules for student AI use. (All text was originally written by the author, but some of the text was revised based on suggestions from Gemini and ChatGPT 3.5. �
Setting clear boundaries using the three W's mentioned in this article is a great way to explain to students when AI usage is allowed. I agree that it should not be allowed for all assignments or activities and that students should not directly copy and paste information from the AI tool they're using, even if they plan to cite it.
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