Trends in Support for Students with Special Educational Needs in UK University Libraries: Focusing on Support Personnel and Systems

The provision of service to students with Special Educational Needs (SEN) at university libraries in the UK differs based on the types of positions that are being used to staff these programs. This study finds that although nondedicated staff tended to provide services that required fewer specialized skills, they seemed to place a higher priority on meeting the immediate needs of students with SEN, while dedicated staff members tended to focus on the quality of the support being provided. Second, this study finds that it is difficult for university libraries to provide the tailored training or alternative formats required by students with SEN without support personnel on staff who have specialized expertise. It remains to be determined which type of special needs staffing and support system is most effective, since no significant differences were observed in the responses of those surveyed.     

Standard score assessment on physique and performance of Brazilian athletes in a six tiered competitive sports model

The use of large cross-sectional norms on Brazilian children and youths aged 7 to 18 years within a six level competition plan helps to assess development status and monitor change. Non-athletic prototypes for comparative purposes are illustrated by the use of the lowest competitive level of 18 year olds to assess differences from internationally elite players. The purpose of this study was to establish the efficacy of this practice in male and female basketball and volleyball samples. Comparisons were made on 11 anthropometric and performance variables using percent difference (% delta) and z-score values. The z-scores were highest for height, weight, and jumping ability in both sports groups. The volleyball players were the more linear in physique and the better jumpers. Related to their prototypes the female basketball players had the highest estimated VO2 max (ml kg-1 min-1), and the best values of anaerobic power measures. It is concluded that differences in physique and performance at various levels of competition compared to non-athletic prototypes may be used to infer selective and training factors.