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Simulation in Learning and Teaching
Simulation in clinical teaching and learning has been rapidly developing as a method to provide safe and effective learning environments for students to learn vital skills in a low risk setting. Students can practice and hone their theoretical skills in a controlled environment, experiencing the intense interactions and encounters associated in the clinical setting, effectively testing their personal response and ability to regulate to the environment – without compromising patient safety.
Using 360° Video To Enable Affective Learning in Nursing Education
The following text is drawn directly from ‘Using 360° Video to Enable Affective Learning in Nursing Education’ published in the Journal of Nursing Education (Vol. 59, No. 7, 2020) with permission from the author.
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Poverty Simulation
Poverty is a reality for many individuals and families. But unless you've experienced poverty, it's difficult to truly understand. The Community Action Poverty Simulation (CAPS) bridges that gap from misconception to understanding.
Simulation Trifecta in Veterinary Education
Clinical veterinary education has traditionally used an apprenticeship model of training in which senior students learn case management and clinical decision-making skills through observation and discussion in the teaching hospital. However, this model is potentially inadequate as it provides little opportunity for skill acquisition due to limited intentional skill practice.
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Spotlight: AI and Machine Learning
AI and machine learning are terms becoming increasing familiar across a range of industries and applications, as the world continues to evolve - with technological advancement at the core.
Artificial Intelligence in the Healthcare Setting
South Australia’s health research sector is among the best in the world, with its renowned infrastructure and applications of new and advanced technologies having a global impact. South Australia has world-leading Artificial Intelligence research capability and a range of other world-class researchers in multiple areas in biomedical research.
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Preventing Rage Against the Machine
The COVID-19 crisis has severely disrupted the way companies organise and perform work, intensifying the rate at which organisations are adopting new technologies to increase productivity and manage remote workers. Many companies are exploring the potential benefits of artificial intelligence capabilities for transforming the way their employees work.
Medical Machine Learning
The main goal of computer-aided diagnosis (CAD) systems in medical image analysis is the prediction of clinically relevant outcomes (e.g. diagnosis, prognosis, pathology) directly from medical images.
Planning for the Future
As we continue to confront, challenge and overcome the shock waves, disruption and uncertainty resulting from the impact of the COVID-19 pandemic, it is important to drive measures that will help with the roadmap to recovery and build more resilient communities into the future.
The Impact Social Media is Having on You: Online & Offline
Eleanor’s discussion paper features a snapshot of the research findings from her Honours thesis that assessed the impact of social media use and personality. Given the surge in reliance on social media platforms to assist with social distancing measures, Eleanor’s research aims to spark reflection on our current understandings of the association between personality factors and their impact on problematic social media use.
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