Games have been used as a learning tool for centuries. Gamification and game-based learning are becoming more prominent in educational settings for several reasons. When it comes to learning, being focused and immersed can massively improve a student's experience. The purpose of this study is to map the emerging trends of gamification and game-based learning (GBL) in the Vocational and Education Training (VET) sector. For this purpose, a Systematic Literature Review was conducted through the three most relevant scientific databases - Web of Science, Scopus, ScienceDirect, and PubMed with Google Scholar as a supporting database. The obtained sample was further selected following the PRISMA guidelines with screening and eligibility processes conducted based on inclusion criteria that were defined with consideration to the research's aim. This review comprised seventeen studies. The findings revealed a growing interest in the Asian continents in research from 2020 onwards. Furthermore, most of the study is centred on vocational schools and colleges in the engineering and healthcare fields. According to the overview, the digital learning platform and simulation technology are the most promising tools used in the research. The findings support the conclusion that gamification and game-based learning can improve academic performance, engagement, and motivation in vocational education learners. As a result, this study suggests that more research is needed to determine the gamification strategies that are most suited for vocational education and learning.
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http://dx.doi.org/10.1007/s10639-022-11548-w | DOI Listing |
Sci Rep
December 2024
School of Physical Education, Shanghai University of Sport, Shanghai, 200438, China.
Objective: This study aimed to examine the levels of physical activity (PA), sleep, and mental health (MH), specifically depression, anxiety, and stress, among Chinese university students. It also aimed to analyze the influencing factors of MH, providing a theoretical foundation for developing intervention programs to improve college students' mental health.
Methods: A stratified, clustered, and phased sampling method was employed.
BMC Med Educ
December 2024
Nursing Department, Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China.
Background: Integration of clinical medicine and other subjects has laid more emphasis on the cultivation of high-quality medical talents, with the increasing demand for interprofessional education (IPE). IPE has been promoted by a number of universities to create and sustain authentic IPE activities, with which students can engage. Although IPE has achieved certain results, there are still many problems.
View Article and Find Full Text PDFBMC Nurs
December 2024
Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Background: The physical demands of nurses during their work and education are high. In addition, shortage in nursing staff increases the individual workload. However, an appropriate tool to measure perceived physical exertion in nursing students is missing.
View Article and Find Full Text PDFBMC Public Health
December 2024
School of Physical Education, South China University of Technology, Guangzhou, China.
Since the World Health Organization declared COVID-19 no longer a public health emergency in 2023, over a year has passed. However, there has been insufficient research into whether the physical health of adolescents has recovered post-Pandemic. The COVID-19 Pandemic profoundly impacted the lives and health of adolescents globally, with prolonged lockdowns and social isolation measures potentially causing adverse effects on their physical health.
View Article and Find Full Text PDFPsychol Res Behav Manag
December 2024
Department of Psychiatry, Sleep Medical Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China.
Purpose: Network analysis is a statistical method that explores the complex interrelationships among variables by representing them as nodes and edges in a network structure. This study aimed to examine the interconnections between family functioning, anxiety, and depression among vocational school students through network analysis approach.
Participants And Methods: A sample of 2728 higher vocational school students participated in a survey utilizing the Family APGAR Index Questionnaire (APGAR), Generalized Anxiety Disorder Scale (GAD-7), and Patient Health Questionnaire (PHQ-9).
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