Background: Teaching methods that provide an opportunity for individual engagement and focussed feedback are required to create an active learning environment for case-based teaching in large groups.
Aims: A prospective observational controlled study was conducted to evaluate whether the use of an audience response system (ARS) would promote an active learning environment during case-based discussions in large groups, have an impact on student motivation and improve long-term retention.
Methods: Group A (N = 83) participated in large group case discussions where student participation was voluntary, while for group B (N = 86) an ARS was used. Data collection methods included student and teacher surveys, student focus group interviews, independent observations and 1-year post-course testing.
Results: Results indicated that the use of an ARS provided an active learning environment during case-based discussions in large groups by favouring engagement, observation and critical reflection and by increasing student and teacher motivation. Although final exam results were significantly improved in group B, long-term retention was not significantly different between groups.
Conclusions: It was concluded that ARS use significantly improved the learning experience associated with case-based discussions in a large group of undergraduate students.
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http://dx.doi.org/10.3109/01421590903193539 | DOI Listing |
Int J Nurs Pract
February 2025
Public Health Nursing Department, Nursing Faculty, Akdeniz University, Antalya, Turkey.
Background: Work environments that support patient safety initiatives are important for quality service and patient outcomes. The relationship between the leadership behaviours of nurse managers and safety culture, which has the potential to support these initiatives, constitutes one of the most important knowledge gaps.
Objectives: The study aimed to determine the relationship between nurses' perceived leadership behaviours and hospital safety culture and the factors affecting them.
Am J Ind Med
January 2025
Icahn School of Medicine at Mount Sinai, Selikoff Centers for Occupational Health, New York, New York, USA.
Background: Housecleaning work has been characterized as precarious employment with unstable work hours, arbitrary and low pay and benefits, and exposures to chemical, physical, and psychosocial stressors. Understanding how interpersonal power dynamics between workers and clients, a component of precarious work, contributes to work exposures can inform and improve prevention programs.
Methods: We used reflexive thematic analysis of data from seven focus groups with Latinx immigrant housecleaners in New York City to explore workers' experience of interpersonal power dynamics with their clients-whom they referred to as their "employers"-and its influences on working conditions.
Protein Sci
February 2025
Department of Physics, University of Washington, Seattle, Washington, USA.
Proteins' flexibility is a feature in communicating changes in cell signaling instigated by binding with secondary messengers, such as calcium ions, associated with the coordination of muscle contraction, neurotransmitter release, and gene expression. When binding with the disordered parts of a protein, calcium ions must balance their charge states with the shape of calcium-binding proteins and their versatile pool of partners depending on the circumstances they transmit. Accurately determining the ionic charges of those ions is essential for understanding their role in such processes.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam, 611002, Tamil Nadu, India.
In response to the pressing need for the detection of Monkeypox caused by the Monkeypox virus (MPXV), this study introduces the Enhanced Spatial-Awareness Capsule Network (ESACN), a Capsule Network architecture designed for the precise multi-class classification of dermatological images. Addressing the shortcomings of traditional Machine Learning and Deep Learning models, our ESACN model utilizes the dynamic routing and spatial hierarchy capabilities of CapsNets to differentiate complex patterns such as those seen in monkeypox, chickenpox, measles, and normal skin presentations. CapsNets' inherent ability to recognize and process crucial spatial relationships within images outperforms conventional CNNs, particularly in tasks that require the distinction of visually similar classes.
View Article and Find Full Text PDFLife Sci Space Res (Amst)
February 2025
Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, NV, United States.
Spaceflight-Associated Neuro-Ocular Syndrome (SANS) presents a critical risk in long-duration missions, with microgravity-induced changes that threaten astronaut vision and mission outcomes. Current SANS monitoring, limited to pre- and post-flight exams, lacks in-flight diagnostics, highlighting an urgent need for autonomous tools capable of real-time assessment. Grok, an AI platform by xAI, offers promising potential as an advanced diagnostic tool for space-based health monitoring.
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