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Department of Biosciences and Chemistry, Sheffield Hallam University, Sheffield, United Kingdom.
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores the dual-edged nature of GenAI's integration into educational practices, focusing on both its potential to enhance student engagement and learning outcomes and the significant challenges it poses to academic integrity and equity. Through a comprehensive review of current literature, we examine the implications of GenAI on assessment practices, highlighting the need for robust ethical frameworks to guide its use.
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The magnitude of advances in surgical care inspires awe consistent with the impact of these developments on patients' lives. With this comes greater knowledge, new practices, and novel technologies for integration into residency training, making the skillset required of today's residents quite different from those in the past. Competency-based medical education and learner-centered approaches offer innovative and studied methodologies for teaching, learning, and assessment to meet the demands of today's educational environment.
View Article and Find Full Text PDFDevelopment and evaluation of a high-fidelity, multi-disciplinary simulation training course for high-consequence infectious diseases using fluorescence visualization.
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