인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
초록·키워드
Sport talent identification and development has become an interesting area of sport science research and the need to explore the basic fundamentals of this process necessitated the need for this preliminary investigation in Nigeria with the view to develop an ideal sport talent identification and development model that could be used for future recruitment and selection of young potencial athletes. Data was collected from 50 participants using a self-report instrument based on the talent identification and development characteristics and indicatiors. Results indicated that the physiological characteristic with the mean value (m = 15.26 ± sd = 8.44) was the most apparent considered variable used by the participants during the talent identification and development process when compared with other variables of motor skill, psychology, physiology and body morphology. Results on the indicators of sport talent identification and development revealed that majority of the participants, 27(54.0%) of coaches place emphases more on both the performance of basic motor skills and the combination of the anthropometrical, physical and physiological profiles of the young talented athletes during the talent identification and development process. Conclusively, this baseline information has given us insight to the future direction of this research which is the examination of these talent identification characteristics and basic indicators using descriptive, field and laboratory measures with an enlarged sample that will include sport scientists. This will enable us to analytically dissolve the potentials of the young athletes into a series of measurable and non-measurable components.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2015-690-002718044