First, let's commend ourselves: how in the midst of a pandemic we faculty stepped up at record speed to teach in such a foreign learning environment. Try we did, adapt we did, and learn we did. But to be clear, and we already recognize this, this past spring was less about distance learning and more about crisis teaching.

This time around we have the opportunity to be much more purposeful and intentional, and that’s where The Distance Learning Playbook for College and University Instru...

An Introduction to Data Science is an easy-to-read data science textbook for those with no prior coding knowledge. It features exercises at the end of each chapter, author-generated tables and visualizations, and R code examples throughout.

An essential guide for students transitioning from undergraduate to registered nurse. The book covers all topics included on a final year transition module, is suitable for all fields of nursing, and is mapped to the latest NMC standards.

Detailing over 60 different special needs conditions this book is an ideal 'go-to-guide' to help teachers understand, identify and work with children who have special needs.

A step-by-step and practical guide of how to compile a professional portfolio for use throughout nursing programmes and in initial nursing roles, where portfolios are an essential tool for interviews and employee appraisals.

An essential guide to wellbeing in education for all school staff from leaders to classroom teachers.

The future-forward framework in this book prepares leaders to harness the power of innovative ideas and digital strategies to create relevant, engaging, and intuitive school cultures.

Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course. The book features running case using an airline business's customer survey dataset to illustrate how to turn data in business decisions. The text also features full integration of R and RStudio software.

This updated and reorganized Third Edition of this textbook takes a workbook-style approach that encourages an active approach to learning statistics. Carefully placed reading questions throughout each chapter allow students to apply their knowledge right away.