Bayesian statistics has gained great momentum since the computational developments of the 1990s. Gradually, advances in Bayesian methodology and software have made Bayesian techniques much more accessible to applied statisticians and, in turn, have potentially transformed Bayesian education at the undergraduate level. This article provides an…

This paper describes an investigation looking at the underlying mathematics of poker machines. The aim of the investigation is for students to get an appreciation of how poker machines are designed to ensure that in the long-term players will inevitably lose when playing. The first part of this paper describes how students can model a simple poker…

Computational thinking, programming, coding, and analytical thinking are high-demand skills in today's educational and occupational arenas (Wing, 2006 & 2014). In addition to these skills, students need the ability to think creatively, work collaboratively, and develop design solutions to complex problems to succeed in school and a…

Computational thinking--a set of mental and cognitive tools applied to problem solving--is a fundamental skill that all of us (and not just computer scientists) draw on. Educators have found that computational thinking enhances learning across a range of subjects and reinforces students' abilities in reading, writing, and arithmetic. This book…

This book brings together a collection of work from around the world in order to consider effective STEM, robotics, mobile apps education from a range of perspectives. It presents valuable perspectives--both practical and theoretical--that enrich the current STEM, robotics, mobile apps education agenda. As such, the book makes a substantial…