Primary Maths Teacher Resource Book 6

Primary Maths Teacher Resource Book 6
Author: Dianne Carr
Publisher: Cambridge University Press
Total Pages: 249
Release: 2011-09-30
Genre: Juvenile Nonfiction
ISBN: 0521745535

Active Maths Teacher Resource 6 contains the teaching framework. It describes a range of classroom activities and practice, provides additional worksheets and is cross-referenced to the student activity pages, the Quality Teaching Framework and relevant cards in the Maths-in-a-Box series.

SOS Help for Parents

SOS Help for Parents
Author: Lynn Clark
Publisher: SOS Programs & Parents Pres
Total Pages: 276
Release: 2005
Genre: Family & Relationships
ISBN: 9780935111217

A set of teaching/couseling aids for professionals who offer parent education classes, parent counseling, or guidance to parents on child rearing and discipline.

International Mathematics 5

International Mathematics 5
Author: Alan McSeveny
Publisher:
Total Pages: 602
Release: 2009
Genre: Mathematics
ISBN: 9780733985911

International Mathematics for the Middle Years has been developed with the international student in mind. This series is particularly beneficial to students studying the International Baccalaureate MYP. All examples and exercises take an international viewpoint, giving students an opportunity to learn Mathematics with a global perspective. The content is appropriate for international curricula and will meet the needs of all middle school students studying Mathematics.

Teaching Social Studies to English Language Learners

Teaching Social Studies to English Language Learners
Author: Bárbara C. Cruz
Publisher: Routledge
Total Pages: 281
Release: 2013-03-12
Genre: Education
ISBN: 1136205128

Teaching Social Studies to English Language Learners provides readers with a comprehensive understanding of both the challenges that face English language learners (ELLs) and ways in which educators might address them in the social studies classroom. The authors offer context-specific strategies for the full range of the social studies curriculum, including geography, U.S. history, world history, economics, and government. These practical instructional strategies will effectively engage learners and can be incorporated as a regular part of instruction in any classroom. An annotated list of web and print resources completes the volume, making this a valuable reference to help social studies teachers meet the challenges of including all learners in effective instruction. Features and updates to this new edition include: • An updated and streamlined Part 1 provides an essential overview of ELL theory in a social studies specific-context. • "Teaching Tips" offer helpful suggestions and ideas for creating and modifying lesson plans to be inclusive of ELLs. • Additional practical examples and new pedagogical elements in Part 3 include more visuals, suggestions for harnessing new technologies, discussion questions, and reflection points. • New material that takes into account the demands of the Common Core State Standards, as well as updates to the web and print resources in Part 4.

Textbooks and Quality Learning for All

Textbooks and Quality Learning for All
Author: Unesco
Publisher: UNESCO
Total Pages: 412
Release: 2006
Genre: Education
ISBN:

Focused on the dual aspects of access and quality, this publication discusses the role of textbooks in facilitating quality education for all. The book consists of reviews of the international perspectives as well as case studies on Brazil, Russian Federation, and Rwanda. It also documents strategies that could help to optimise procedures of textbook development, production, and evaluation; enhance textbooks' pedagogical impact; improve teachers' selection of textbooks; and raise textbook supply efficiently.

Interpretable Machine Learning

Interpretable Machine Learning
Author: Christoph Molnar
Publisher: Lulu.com
Total Pages: 320
Release: 2020
Genre: Computers
ISBN: 0244768528

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.