Higher education for health care professionals faces numerous challenges. It is important to develop and apply methods supporting education, especially the practical skills. This scoping review aimed to explore the activities and learning outcomes of digital technology in practical skills teaching and learning in higher education for the social and health professions. Scoping review recommendations and the PRISMA-ScR checklist were applied. Randomized controlled trials published between 2016 and 2021 involving students in higher education who were taking courses in the social sciences and health care and reported interventions with digital technology activities and practices in practical teaching and learning were included. The CINAHL Plus, PubMed, Scopus, ERIC, and Sociological Abstracts/Social Services Abstracts databases were searched. Teaching methods were blended, e-learning or other online-based, and digital simulation-based activities. Teaching and learning environments, methods, resources, and activity characteristics varied, making a summary difficult. Interventions were developed in a face-to-face format prior to digitalization. The outcomes were measured at the knowledge level, not at the performance level. One-third of the studies showed a significant improvement in practical skills in the intervention group in comparison to the control conditions. The use of digital technology in the learning and teaching process have potential to develop of students' skills, knowledge, motivation, and attitudes. The pedagogy of technology use is decisive. The development of new digital methods for teaching and learning practical skills requires the engagement of students and teachers, in addition the researchers.
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http://dx.doi.org/10.1007/s44217-022-00022-x | DOI Listing |
Sensors (Basel)
January 2025
Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Nanjing Institute of Agricultural Mechanization, Nanjing 210014, China.
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January 2025
School of Computer Science, Shaanxi Normal University, Xi'an 710062, China.
Music generation by AI algorithms like Transformer is currently a research hotspot. Existing methods often suffer from issues related to coherence and high computational costs. To address these problems, we propose a novel Transformer-based model that incorporates a gate recurrent unit with root mean square norm restriction (TARREAN).
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January 2025
Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China.
Behavioral computing based on visual cues has become increasingly important, as it can capture and annotate teachers' and students' classroom states on a large scale and in real time. However, there is a lack of consensus on the research status and future trends of computer vision-based classroom behavior recognition. The present study conducted a systematic literature review of 80 peer-reviewed journal articles following the Preferred Reporting Items for Systematic Assessment and Meta-Analysis (PRISMA) guidelines.
View Article and Find Full Text PDFInt J Environ Res Public Health
January 2025
Department of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA.
Colorectal cancer (CRC) ranks third in terms of global cancer prevalence and is the second most common cause of cancer-related mortality. Although CRC rates are decreasing in the United States, inequalities still exist despite the effectiveness of invasive screening methods, such as colonoscopy, flexible sigmoidoscopy, and computed tomography (CT) colonography in detecting colorectal cancer. Many current interventions promoting CRC screening do not utilize a modern theory-based approach, which has led to the low utilization of these screening methods.
View Article and Find Full Text PDFInt J Environ Res Public Health
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Department of Midwifery, Physiotherapy, Occupational Therapy and Psychomotor Therapy, University College Copenhagen, DK-2200 Copenhagen, Denmark.
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