This cutting-edge overview explores big data and the related topic of computer code, examining the implications for education and schooling for today and the near future.

This concise and practical guide explores the use of Conversation Analysis as a method for conducting research in a business and management Masters dissertation.

With lots of illustrations and interviews with key urban analysts, this book offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics.

Addresses the all too common pitfalls of essay assignments, as well as providing students with a step-by-step programme to approach essay questions, both in coursework and exam contexts.

"This is a comprehensive guide covering everything about learning to teach maths. Suitable for anyone considering teaching as a profession, those already in training and new teachers, it provides excellent coverage of the theoretical and practical aspects of teaching maths in an accessible style." - Emma McCrea, ITE Lecturer and author of Making Every Maths Lesson Count

An essential resource, Research Ethics for Human Geography is an engaging introduction to key ethical issues in geographical research; edited and authored by leading figures in the discipline.

This book provides guidance and insight into 'what mathematics leadership looks like in practice' and shows readers how they can develop from a confident teacher into a curriculum subject leader.

This book is written by experienced teachers and teacher training experts to provide pragmatic and evidence-based support for newly qualified teachers.

Providing readers with the introduction to doing research into digital cultures and technologies, this book considers the methodological, practical and theoretical elements of digital ethnography and demonstrates how to research experiences and relationships as well as objects and events

A Crash Course in Statistics is a short introduction to key statistical methods including descriptive statistics, one-way and two-way ANOVA, the t-test, and Chi Square. Each of the five chapters provides an overview of each method, and then walks readers through a relevant example, using SPSS to highlight how to run the statistics and how to write up the results in APA style.