3 resultados para General compulsory school

em Aston University Research Archive


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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.

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The attitudes of 328 British Secondary School children towards computers were examined in a cross-sectional survey. Measures of both general attitudes towards computers and affective reactions towards working with computers were examined in relation to the sex of the subject, courses studied (computer related/noncomputer related) and availability of a home computer. A differential pattern of results was observed. With respect to general attitudes towards computers, main effects were found for all three independent variables indicating that more favourable attitudes increased as a function of being male, doing computer courses and having a home computer. In contrast to this, affective reactions to working with computers was primarily related to doing computer courses, such that those doing computer courses reported more positive and less negative reactions. The practical and theoretical implications of these results are discussed.

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School of thought analysis is an important yet not-well-elaborated scientific knowledge discovery task. This paper makes the first attempt at this problem. We focus on one aspect of the problem: do characteristic school-of-thought words exist and whether they are characterizable? To answer these questions, we propose a probabilistic generative School-Of-Thought (SOT) model to simulate the scientific authoring process based on several assumptions. SOT defines a school of thought as a distribution of topics and assumes that authors determine the school of thought for each sentence before choosing words to deliver scientific ideas. SOT distinguishes between two types of school-of-thought words for either the general background of a school of thought or the original ideas each paper contributes to its school of thought. Narrative and quantitative experiments show positive and promising results to the questions raised above © 2013 Association for Computational Linguistics. © 2013 Association for Computational Linguistics.