Although college physical education (PE) is a compulsory course in college teaching, due to the openness of assessment standards and students studying to pass the final exam, college PE has been undervalued, so this paper aims to explore the new model of college PE teaching. In response, this paper took the air volleyball course as an example and redesigned the teaching of college PE based on the theory of flipped classroom and outcomes-based education (OBE). This paper also proposed a personalised learning system for college sports based on genetic algorithm (GA) and data structure, greatly improving college PE's autonomous learning ability and willingness. In the design of the teaching model, this paper compared and analysed the teaching model combining flipped classroom and OBE with flipped classroom teaching model, OBE teaching model and traditional teaching model. A one-semester investigation was conducted by selecting 40 students who took the air volleyball PE course at Hebei Normal University for Nationalities. The 40 students were divided into four groups, and their learning after one semester was compared. The experimental results showed that, compared with the traditional teaching model group, the outcome-based education and flipped classroom education group's performance of hitting the ball, passing the ball, spiking the ball, and serving the ball increased by 3.8 %, 14.3 %, 20.8 %, and 10.3 %, respectively. This suggested that the new college physical education teaching model based on flipped classrooms and OBE has a good teaching effect and can be used as a reference and help for others.
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http://dx.doi.org/10.1016/j.heliyon.2024.e31368 | DOI Listing |
Interact J Med Res
January 2025
Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: Incorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. However, it lacks a comprehensive study depicting the academic performance and status of AI in the medical education domain.
Objective: This study aims to analyze the social patterns, productive contributors, knowledge structure, and clusters since the 21st century.
JMIR Med Educ
January 2025
College of Medicine, Alfaisal University, Takhasussi street, Riyadh, 11533, Saudi Arabia, 966 559441589.
Background: There has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps in medical education. Despite data being available from other parts of the world, there is a significant lack of information on this topic in medical education and research, particularly in Saudi Arabia.
Objective: The primary objective of the study was to examine the familiarity, usage patterns, and attitudes of Alfaisal University medical students toward ChatGPT and other chat-based AI apps in medical education.
J Glob Health
January 2025
Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Background: The prevalence of antibiotic prescribing among total prescriptions, the percentage of combined antibiotic prescribing among prescriptions containing at least one antibiotic, and factors influencing hospital antibiotic prescribing are currently unknown. In this systematic review, we aimed to summarise antibiotic prescribing in hospitals worldwide and identify the associated factors.
Methods: We searched PubMed/MEDLINE, Ovid/Embase, and the Web of Science for articles published between 1 January 2000 and 28 February 2023 that reported antibiotic prescribing in hospitals or the associated factors.
PLoS One
January 2025
Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Gangshan Hospital, Kaohsiung, Taiwan.
Background/purpose: Dyslipidemia, a hallmark of metabolic syndrome (MetS), contributes to atherosclerotic and cardiometabolic disorders. Due to days-long analysis, current clinical procedures for cardiotoxic blood lipid monitoring are unmet. This study used AI-assisted attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to identify MetS and precisely quantify multiple blood lipid levels with a blood sample of 0.
View Article and Find Full Text PDFPLoS Pathog
January 2025
Department of Infectious Diseases, Shanghai Institute of Infectious Diseases and Biosecurity, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Hepatitis B virus (HBV) X protein (HBx) is a key factor for regulating viral transcription and replication. We recently characterized homeobox protein MSX-1 (MSX1) as a host restriction factor that inhibits HBV gene expression and genome replication by directly binding to HBV enhancer II/core promoter (EnII/Cp) and suppressing its promoter and enhancer activities. Notably, HBx expression was observed to be repressed more drastically by MSX1 compared to other viral antigens.
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