Improving Pupil Motivation Together: Teachers and Teaching Assistants Working Collaboratively

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9781848168695: Improving Pupil Motivation Together: Teachers and Teaching Assistants Working Collaboratively

Improving Pupils Motivation Together provides a refreshing and much-needed focus on how motivation can be enhanced by teachers and teaching assistants working both individually and collaboratively. Written in an accessible and engaging manner, the book explores various theories of motivation from a range of perspectives, applying academic theory to real life classroom situations. Using a combination of case studies and empirical research, this book demonstrates how teachers and TAs can successfully enhance the motivation of their students through collaborative practice. Improving Pupils Motivation Together starts by introducing theories of learning and motivation and goes on to offer insight in areas including:

  • Collaboration and ways to collaborate;
  • Motivation and giftedness;
  • Assessment for Learning;
  • Learning goals and learning objectives;
  • Common pupil responses;
  • Research in Action.

Improving Pupils Motivation Together is an ideal resource for both teachers and teaching assistants working with pupils who are difficult to motivate and who find learning challenging. Further, this book will be highly useful for teachers managing their support staff, and for trainee teachers looking to develop their skills in motivating and engaging pupils.

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About the Author:

Susan Bentham is a Senior Lecturer in the School of Education at the University of Chichester, UK.

Roger Hutchins is an Inclusion Manager at a junior school in Portsmouth.

"About this title" may belong to another edition of this title.

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Book Description Imperial College Press, United Kingdom, 2012. Hardback. Book Condition: New. 228 x 156 mm. Language: English . Brand New Book. The manipulation of databases is an integral part of a world which is becoming increasingly and pervasively information-focused. This book puts forward a suggestion to advocate preference queries and fuzzy sets as a central concern in database queries and offers an important contribution to the design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers.This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout, and greatly enhance the detailed theoretical aspects explored in the book.Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries, and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques. The only other books which deal with this topic are edited books or conference proceedings which include a few contributions about some specific aspects of the question. This book provides a comprehensive view of the issue, starting with basic notions related to relational databases and fuzzy set theory, up to the detailed study of complex fuzzy queries and the way they can be efficiently processed. It is the compendium of more than 20 years of research by the authors who benefit from a great international recognition in the domain of intelligent information systems, on the subject. Bookseller Inventory # AAC9781848168695

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Book Description Imperial College Press, United Kingdom, 2012. Hardback. Book Condition: New. 228 x 156 mm. Language: English . Brand New Book. The manipulation of databases is an integral part of a world which is becoming increasingly and pervasively information-focused. This book puts forward a suggestion to advocate preference queries and fuzzy sets as a central concern in database queries and offers an important contribution to the design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers.This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout, and greatly enhance the detailed theoretical aspects explored in the book.Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries, and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques. The only other books which deal with this topic are edited books or conference proceedings which include a few contributions about some specific aspects of the question. This book provides a comprehensive view of the issue, starting with basic notions related to relational databases and fuzzy set theory, up to the detailed study of complex fuzzy queries and the way they can be efficiently processed. It is the compendium of more than 20 years of research by the authors who benefit from a great international recognition in the domain of intelligent information systems, on the subject. Bookseller Inventory # AAC9781848168695

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Book Description Imperial College Press. Hardback. Book Condition: new. BRAND NEW, Fuzzy Preference Queries to Relational Databases, Olivier Pivert, Patrick Bosc, The manipulation of databases is an integral part of a world which is becoming increasingly and pervasively information-focused. This book puts forward a suggestion to advocate preference queries and fuzzy sets as a central concern in database queries and offers an important contribution to the design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers. This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout, and greatly enhance the detailed theoretical aspects explored in the book. Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries, and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques. Bookseller Inventory # B9781848168695

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