Evidence-based School Leadership and Management
Evidence-based School Leadership and Management

Author: Gary Jones

Publisher: SAGE

Published: 2018-09-17

Total Pages: 285

ISBN-13: 1526453010

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There is a vast amount of research on what goes on in schools, but how can school leaders sort credible findings from dubious claims and use these to make informed decisions that benefit their schools? How can abstract ideas from research be translated into dynamic plans for action? This book is a practical guide to evidence-based school leadership demonstrating the benefits that can be gained from engaging with robust educational research and offering clear guidance on applying meaningful lessons to practice. Topics include: · What is evidence-based school leadership and why does it matter? · How to collect data from your own school and how to analyse this evidence in order to inform strategic leadership decisions · Models for implementing school improvement and change · Leadership skills for fostering a culture of evidence-based practice This is essential reading for senior and middle leaders in educational organisations who aspire to lead effective schools with high levels of staff well-being and enhanced outcomes for the learners they teach.

Ditch That Textbook
Ditch That Textbook

Author: Matt Miller

Publisher:

Published: 2015-04-13

Total Pages: 240

ISBN-13: 9781946444257

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Textbooks are symbols of centuries-old education. They're often outdated as soon as they hit students' desks. Acting "by the textbook" implies compliance and a lack of creativity. It's time to ditch those textbooks--and those textbook assumptions about learning In Ditch That Textbook, teacher and blogger Matt Miller encourages educators to throw out meaningless, pedestrian teaching and learning practices. He empowers them to evolve and improve on old, standard, teaching methods. Ditch That Textbook is a support system, toolbox, and manifesto to help educators free their teaching and revolutionize their classrooms.

Deep Learning for Coders with fastai and PyTorch
Deep Learning for Coders with fastai and PyTorch

Author: Jeremy Howard

Publisher: O'Reilly Media

Published: 2020-06-29

Total Pages: 624

ISBN-13: 1492045497

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Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala