The standard teaching text for Data and Society modules explaining to undergraduates, in different social-science disciplines, the Big Data Revolution in an accessible and critical way.

Teaching would be easy if there were clear recipes you could follow every time. The Ingredients for Great Teaching explains why this is impossible and why a one-size-fits-all approach doesn't work. Instead of recipes, this book examines the basic ingredients of teaching and learning so you can use them wisely in your own classroom in order to become a better and more effective teacher.

Taking an approach that is both evidence-based and practical, author Pedro de Bruyckere explores ten crucial...

An accessible and thought-provoking survey of this vast field. Emphasising the underlying concepts students need to understand and authored by world-renowned experts.

Focused on the needs of the new classroom researcher and those studying education on Masters-level courses, this is a thorough and thoughtful guide to the research process, covering qualitative, quantitative and mixed research methods.

Widely acknowledged as being the first academic text to provide a critical overview of the (big) data revolution and the classification of data which it outlined is now widely used/recognised as the taxonomy in social science. The Data Revolution a canonical text in data studies and the wider social sciences.

Presenting a practical approach to CBPR by describing how an individual researcher might understand and conduct CBPR research, this book includies a concise overview of CBPR theoretical underpinnings, methods considerations and ethical issues - all presented in an accessible format.