The advent of virtual reality (VR) in education offers unique possibilities for facilitating cooperative learning strategies, particularly in fields demanding intricate spatial understanding, such as gross anatomy. This study investigates the impact of integrating cooperative learning strategies within a VR-based gross anatomy curriculum, focusing on enhancing students' anatomy knowledge and skills. We analyzed the performance of two cohorts of first-year nursing students across five semesters (2016-2020), where traditional learning methods were used in the first three semesters (2016-2018), and a VR-based cooperative learning approach was adopted in the last two semesters (2019-2020). Our findings suggest that the VR-based cooperative learning group achieved significantly higher scores in their gross anatomy laboratory courses compared to their counterparts learning through traditional methods. This research provides valuable insights into how the integration of VR technology and cooperative learning strategies can not only enhance learning outcomes but also improve the VR learning experience by reducing motion sickness. It accentuates the potential of VR-based cooperative learning as an impactful educational tool in anatomy education. Future research should further explore the optimal integration of VR and cooperative learning strategies in diverse course types and their potential to enhance educational outcomes and the learning experience.
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http://dx.doi.org/10.1128/jmbe.00100-23 | DOI Listing |
Nurse Educ Pract
December 2024
New Taipei Municipal TuCheng Hospital, Chang Gung Medical Foundation, Taiwan. Electronic address:
Aim: This study aimed to develop students' learning confidence by increasing their motivation and satisfaction.
Background: Nursing students with limited healthcare work experience often have difficulty fully understanding and sympathizing with patients' medical concerns. They also worry about their theoretical knowledge diminishing with time.
Sci Total Environ
December 2024
School of Ecology and Environment, Anhui Normal University, Wuhu 241000, China; Anhui Provincial Engineering Laboratory of Water and Soil Pollution Control and Remediation, Anhui Normal University, Wuhu 241000, China; Center of Cooperative Innovation for Recovery and Reconstruction of Degraded Ecosystem in Wanjiang City Belt, Wuhu 241000, China. Electronic address:
As a highly emitted volatile organic compound, toluene significantly contributes to atmospheric pollution and poses high risks to human health. Its anthropogenic source is well understood, while its biosynthesis remains poorly understood, especially by bacterial communities. This research attempted to reveal the temporal changes of bacterial community structure during toluene biosynthesis and identify key bacterial factors using 16S rRNA sequencing gene and machine learning methods.
View Article and Find Full Text PDFBMC Public Health
December 2024
Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang-si, Gyeonggi-do, Korea.
Background: Given the rapid increase in the prevalence of prostate cancer (PCa), identifying its risk factors and developing suitable risk prediction models has important implications for public health. We used machine learning (ML) approach to screen participants with high risk of PCa and, specifically, investigated whether participants with metabolic syndrome (MetS) exhibited an elevated PCa risk.
Methods: A prospective cohort study was performed with 41,837 participants in South Korea.
JMIR Res Protoc
December 2024
Division of General Internal Medicine and Population Science, Department of Medicine, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, United States.
Background: Alabama has the second highest rate of cardiovascular disease (CVD) mortality of any US state and a high prevalence of CVD risk factors such as hypertension, diabetes, obesity, and smoking. Within the state, there are disparities in CVD outcomes and risk factors by race or ethnicity and geography. Many primary care practices do not have the capacity for full-scale quality improvement (QI) initiatives.
View Article and Find Full Text PDFMol Cell
December 2024
Department of Cell Biology, Cancer Institute, Japanese Foundation for Cancer Research, Koto-ku, Tokyo 135-8550, Japan. Electronic address:
Viral mimicry driven by endogenous double-stranded RNA (dsRNA) stimulates innate and adaptive immune responses. However, the mechanisms that regulate dsRNA-forming transcripts during cancer therapy remain unclear. Here, we demonstrate that dsRNA is significantly accumulated in cancer cells following pharmacologic induction of micronuclei, stimulating mitochondrial antiviral signaling (MAVS)-mediated dsRNA sensing in conjunction with the cyclic GMP-AMP synthase (cGAS)/stimulator of interferon genes (STING) pathway.
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