Children S Understanding Of Logical Implication

Children's Understanding of Logical Implication

Children’s Understandings of Well-being

The book presented here describes an outstanding attempt, not only to include children’s views but to partner with children to develop the concept of well-being and to study the phenomenon as the children understand it. The authors do this by placing the concept of children’s well-being within the existing discourses on the topic and by developing their unique theoretical approach to the concept. Then, and based on what children told them, the authors identify different domains and dimensions of children’s well-being and touch upon its multifaceted nature. The book concludes with drawing research and policy implications from an integrated summary of the study’s findings and lists indicator concepts that present an alternative framework and conceptualisation of well-being from a child standpoint.

Children's Understanding

This work argues that cognitive development is experience driven, and processes entailed in acquiring information about the world are analyzed based on recent models of learning and induction. The way information is represented and accessed when performing cognitive tasks is considered paying particular attention to the implications of Parallel Distributed Processing (PDP) models for cognitive development. The first half of the book contains analyses of human reasoning processes (drawing on PDP models of analogy), development of strategies, and task complexity -- all based on aspects of PDP representations. It is proposed that PDP representations become more differentiated with age, so more vectors can be processed in parallel, with the result that structures of greater complexity can be processed. This model gives an account of previously unexplained difficulties in children's reasoning, including some which were influential in stage theories. The second half of the book examines processes entailed in some representative cognitive developmental tasks, including transitive inference, deductive inference (categorical syllogisms), hypothesis testing, learning set acquisition, acquisition and transfer of relational structures, humor, hierarchical classification and inclusion, understanding of quantity, arithmetic word problems, algebra, conservation, mechanics, and the concept of mind. Process accounts of tasks are emphasized, based on applications of recent developments in cognitive science.