AI for School Teachers

Rose Luckin is Professor of Learner Centred Design at University College London and Founding Director of EDUCATE.Karine George is an award-winning educationalist and an active research practitioner. She was a headteacher for more than 20 years in a school rated as 'Outstanding' by Ofsted.Mutlu Cukurova is a Professor in Digital Technologies in Education at UCL Knowledge Lab, University College London.

"This book is designed to engage members of the teaching profession directly and in an accessible way. It is starting with teachers not technology. It then places the importance of AI to teachers in their practice and follows by guiding them through how to make AI work for them. I am excited by the potential of this book to empower the teaching profession. Too many feel hard pressed by accountability systems and the pressures of the pandemic. New AI technology offers the possibility of relieving the pressure and liberating teachers to re-connect with their vocation and realise the potential of their pupils." -- Lord Jim Knight, Chair of E-ACT multi academy trust and CAST "Importantly, Rose and Karine assure us we don’t need to be experts or data scientists to be substantively engaged with AI. And with this book, they have provided teachers an all-access pass to one of the most important public conversations of our era. Jump right in, enjoy the ride and then take everyone on it with you!" --Tabitha Goldstaub, Co-Founder of Cognition X, Chair of the UK Government's AI Council, from the Foreword"The COVID-19 pandemic has further highlighted the importance of digital systems and data in education, but while there are many questions, credible answers are still few and far between. This book will help educationalists understand what AI is, what questions and dilemmas it raises, and how to respond." --Timo Hannay, Founder, SchoolDash Limited

• Foreword. Introduction: Understanding the ingredients. 1 What is AI and why might AI be useful in education? 2 Educational challenges and AI. 3 Data, data everywhere. 4 Looking at data differently. 5 Applying AI to understand data. 6 Learning from AI. 7 Ethical questions and what is next? Index.