The shift toward cooperative learning has highlighted the growing advantages of individual learning modes during the transition. Nevertheless, a systematic compilation of the precise classification and developmental dynamics of cooperative learning in PE has been absent. This study aimed to organize the existing progress and significance of collaborative learning. The study entailed a meticulous systematic review process, examining 169 articles in this domain with the aid of visualization software. The results of the study indicate that the overall use of cooperative learning in physical education is on the rise and will reach its highest level in 2021; Second, the keywords, major core scholars, journals, countries, and major research topics; the visual knowledge map reveals the major research topics of intrinsic motivation, cooperative learning, motor skills, self-learning, written expression, and pedagogical models. The research primarily centers on primary and secondary education, followed by teacher training and higher education. At the primary and secondary school levels, there is a specific focus on aspects such as motivation, teacher-student relationships, and the group atmosphere. This research also explores sustainable development and training for PE teachers, model integration, and its influence on students' intrinsic motivation; and finally, the future directions of cooperative learning in PEare summarized. This study provides meaningful and valuable information on how cooperative learning models can be used and developed in various teaching and learning environments, physical education teacher education, and overall student development.
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http://dx.doi.org/10.3389/fpsyg.2023.1300986 | DOI Listing |
Health Expect
February 2025
Centre for Research in Public Health and Community Care (CRIPACC), University of Hertfordshire, Hatfield, UK.
Introduction: Information on care home residents in England is captured in numerous data sets (care home records, General Practitioner records, community nursing, etc.) but little of this information is currently analysed in a way that is useful for care providers, current or future residents and families or that realises the potential of data to enhance care provision. The DACHA study aimed to develop and test a minimum data set (MDS) which would bring together data that is useful to support and improve care and facilitate research.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
ETH Zurich, Zurich, Switzerland.
Background: The escalating global scarcity of skilled health care professionals is a critical concern, further exacerbated by rising stress levels and clinician burnout rates. Artificial intelligence (AI) has surfaced as a potential resource to alleviate these challenges. Nevertheless, it is not taken for granted that AI will inevitably augment human performance, as ill-designed systems may inadvertently impose new burdens on health care workers, and implementation may be challenging.
View Article and Find Full Text PDFActa Physiol (Oxf)
February 2025
Laboratory of Neuroendocrinology-Molecular Cell Physiology, Faculty of Medicine, Institute of Pathophysiology, University of Ljubljana, Ljubljana, Slovenia.
Aim: Octopamine in the Drosophila brain has a neuromodulatory role similar to that of noradrenaline in mammals. After release from Tdc2 neurons, octopamine/tyramine may trigger intracellular Ca signaling via adrenoceptor-like receptors on neural cells, modulating neurotransmission. Octopamine/tyramine receptors are expressed in neurons and glia, but how each of these cell types responds to octopamine remains elusive.
View Article and Find Full Text PDFMed Vet Entomol
January 2025
Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Culicoides biting midges adversely impact animal health through transmission of multiple orbiviruses, such as bluetongue virus (BTV). This study used light trapping data collected in the Southeastern United States for three Culicoides midge species that are confirmed or suspected BTV vectors: Culicoides insignis, Culicoides stellifer and Culicoides venustus. Midge presence datasets were combined with meteorological data and ecological data to model habitat suitability for each species.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Department of Cardiology, The Second Hospital & Clinical Medical School, Lanzhou University, No. 82 Cuiyingmen, Lanzhou, 730000, China.
Objective: Constructing a predictive model for the occurrence of heart disease in elderly hypertensive individuals, aiming to provide early risk identification.
Methods: A total of 934 participants aged 60 and above from the China Health and Retirement Longitudinal Study with a 7-year follow-up (2011-2018) were included. Machine learning methods (logistic regression, XGBoost, DNN) were employed to build a model predicting heart disease risk in hypertensive patients.
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