The directions taken by young people on leaving compulsory education:a study in two Birmingham schools

The thesis addresses the relative importance of factors affecting working-class school-leavers' post-compulsory education transitions into post-sixteen education, training, employment and unemployment. It focuses on school-leavers choosing to enter the labour market, whether successfully or not and the influences affecting this choice. Methodologically, the longitudinal approach followed young people from before they left school to a period of months after. Discrepancies between young people's intended and actual destinations emphasised the diverse influences on post-sixteen transitions. These influences were investigated through a dynamic multi-method approach, drawing from quantitative and qualitative methodologies providing depth and insight while locating the research within a structural framework, allowing a comparison with local and national trends. Two crucial factors of school and gender affected young people's intended and actual post-sixteen directions. School policy, including treatment of disaffected pupils and recruitment to a large, on-site sixth form, influenced the number of pupils opting to continue their education. Girls were more likely to continue education after the end of compulsory schooling and gave different reasons to boys for doing so. Family and peer groups were influential, helping young people develop a 'horizon for action' incorporating habitus and subjective preferences that specified acceptable post-sixteen directions. These influences operated within the context of the local labour market. Perception of the latter rather than actual conditions informed post-sixteen decisions; however, labour market reality influenced the success of the school-leavers' endeavours. The research found that the economics-based rational choice model of decision-making did not apply to many working class school-leavers. The cohort made pragmatically rational decisions dependent on their 'horizon for action'. based on partial, occasionally inaccurate information. Policy recommendations consider the careers service and structure or school sixth forms as aiding successful transitions from compulsory education into education, employment or training. The maintenance allowance may be ineffectual in tackling its objective of social inclusion.

Development and licensing of bio-pharmaceuticals

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Driving licensing renewal policy using neural network-based probabilistic decision support system

This paper investigates neural network-based probabilistic decision support system to assess drivers' knowledge for the objective of developing a renewal policy of driving licences. The probabilistic model correlates drivers' demographic data to their results in a simulated written driving exam (SWDE). The probabilistic decision support system classifies drivers' into two groups of passing and failing a SWDE. Knowledge assessment of drivers within a probabilistic framework allows quantifying and incorporating uncertainty information into the decision-making system. The results obtained in a Jordanian case study indicate that the performance of the probabilistic decision support systems is more reliable than conventional deterministic decision support systems. Implications of the proposed probabilistic decision support systems on the renewing of the driving licences decision and the possibility of including extra assessment methods are discussed.