Best of the old alongside the new: training for part-time youth workers

Set against the dearth of published research into the effectiveness of youth leadership training programmes, the present study describes how a comprehensive evaluation model was utilised to evaluate one such programme in Northern Ireland over a 3-year period. The training welds together a traditional curriculum approach and a competence-based methodology to provide an integrated experience for the part-time youth worker participants (n = 128). Self-completion questionnaires and follow-up interviews with a random sample of these youth workers and their supervisors were used to collect data. Outcomes suggest that the synthesis of these two training strategies is not only effective in meeting the learning needs of youth workers, but also leads to identifiable improvements in the range and quality of youth work programmes available to young people

New Circus: the benefits of Circus Training for young people in a residential setting,

Circus 1 to 3 is a circus school, based on the concept of New Circus, for boys resident in St. Patrick's Training School, Northern Ireland. The project is designed, not only to teach Circus skills, but also to foster social and personal skills. This report details an evaluation undertaken to assess die extent to which this programme meets these aims. A study of participants Circus records indicated that significant gains in co-operative behaviour, team-work, attitude and participation, as rated by Circus tutors, were evident over the course of boys involvement. A qualitative study was also conducted. These interviews with Circus 1 to 3 participants indicated that this project enhanced the quality of life for boys resident in St. Patrick's Training School. In addition the project, through the use of positive feedback, provides opportunities for boys to develop their social and personal skills. This evaluation concludes that Circus 1 to 3 is a worthwhile and successful endeavour.

Robust face recognition with partial occlusion, illumination variation and limited training data by optimal feature selection

This study investigates face recognition with partial occlusion, illumination variation and their combination, assuming no prior information about the mismatch, and limited training data for each person. The authors extend their previous posterior union model (PUM) to give a new method capable of dealing with all these problems. PUM is an approach for selecting the optimal local image features for recognition to improve robustness to partial occlusion. The extension is in two stages. First, authors extend PUM from a probability-based formulation to a similarity-based formulation, so that it operates with as little as one single training sample to offer robustness to partial occlusion. Second, they extend this new formulation to make it robust to illumination variation, and to combined illumination variation and partial occlusion, by a novel combination of multicondition relighting and optimal feature selection. To evaluate the new methods, a number of databases with various simulated and realistic occlusion/illumination mismatches have been used. The results have demonstrated the improved robustness of the new methods.