Occupational socialization theory has been used to understand the recruitment, education, and socialization of physical education teachers for nearly 40 yr. It has, however, only recently been applied to the study of adapted physical education teachers. The purpose of this descriptive case study was to understand the socialization of preservice teachers in an adapted physical education teacher education graduate-level program. Participants included 17 purposefully selected preservice teachers (5 male and 12 female) enrolled in a yearlong graduate-level adapted physical education teacher education program. Qualitative data were collected using interviews, reflective journaling, and field notes taken during teaching and coursework observations. Data analysis resulted in the construction of 3 themes: overcoming contextual challenges to meet learners' needs, the importance of field-based teacher education, and coping with the challenges of marginalization. The discussion connects to and advances occupational socialization theory in adapted physical education and suggests that professional socialization may have a more profound influence on preservice adapted physical education teachers than on their physical education counterparts.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1123/apaq.2018-0198 | DOI Listing |
JMIR Form Res
December 2024
Department of Sports Science, College of Education, Zhejiang University, No. 866, Yuhangtang Road, Hangzhou, 310030, China, 86 18667127699.
Background: Smartwatches are increasingly popular for physical activity and health promotion. However, ongoing validation studies on commercial smartwatches are still needed to ensure their accuracy in assessing daily activity levels, which is important for both promoting activity-related health behaviors and serving research purposes.
Objective: This study aimed to evaluate the accuracy of a popular smartwatch, the Huawei Watch GT2, in measuring step count (SC), total daily activity energy expenditure (TDAEE), and total sleep time (TST) during daily activities among Chinese adults, and test whether there are population differences.
Scand J Med Sci Sports
January 2025
School of Physical Education, Shanghai University of Sport, Shanghai, China.
Long-term training enables professional athletes to develop concentrated and efficient neural network organizations for specific tasks. This study used functional near-infrared spectroscopy to investigate task performance, brain functional characteristics, and their relationships in footballers during sport-specific motor-cognitive processes. Twenty-four footballers (athlete group, with 18 remaining of good signal quality) and 20 non-footballers (control group, with 16 remaining) completed four tasks: a single task (trigger buttons corresponding to the appearance direction of teammates with kicking actions), an N-back direction task, a dual task, and an N-back digit task.
View Article and Find Full Text PDFAppl Psychol Health Well Being
February 2025
Department of Computing and Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong.
The Benefit-Finding Intervention, a face-to-face psychoeducation program with a focus on the positive meanings of caregiving, has been found to reduce depressive symptoms and burden in dementia caregivers. The program was revamped into a computer-delivered web-based program to enable 24/7 access without location restriction. This study evaluates the efficacy of this new online program called Positive Dementia Caregiving in 30 Days (PDC30).
View Article and Find Full Text PDFFront Nutr
December 2024
Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany.
Introduction: Disease-related malnutrition is common but often underdiagnosed in patients with chronic gastrointestinal diseases, such as liver cirrhosis, short bowel and intestinal insufficiency, and chronic pancreatitis. To improve malnutrition diagnosis in these patients, an evaluation of the current Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria, and possibly the implementation of additional criteria, is needed.
Aim: This study aimed to identify previously unknown and potentially specific features of malnutrition in patients with different chronic gastrointestinal diseases and to validate the relevance of the GLIM criteria for clinical practice using machine learning (ML).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!