This is your indispensable guide to navigating the rise of generative AI as an academic. It thoughtfully explores rapidly evolving AI capabilities reshaping higher education, examining challenges and ethical dilemmas across the sector.

Our world is becoming ever more data-driven, transforming how business is conducted, governance enacted, and knowledge produced. Yet, the nature of data and the scope and implications of the changes taking place are not always clear. The Data Revolution is a must read for anyone interested in why data have become so important in the contemporary era.

Thoroughly updated, including ten new chapters, the book provides an accessible and comprehensive: introduction to thinking conceptually about t...

This title works to provide students with an introduction to different types of artistic expression within early childhood. Combining theory, research and practical strategies, the authors present how the arts can be beneficial in fostering inclusion through a range of settings.

An Introduction to Political and Social Data Analysis (With R) provides students with an accessible overview of practical data analysis while also providing a gentle introduction to the R programming environment. Author Thomas M. Holbrook patiently explains each step in statistical analysis with R, avoiding complicated tools or packages.

Let this practical, easy-to-use toolkit guide you through embedding critical SEL competencies into your virtual classrooms and make SEL a way of being for you and your students-anytime, anywhere.