Predicting Academic Achievement Using Past Performance

Preface

This book explores how Bayesian modeling can be used to predict student achievement, leveraging real-world educational data and modern statistical tools. The goal is not only to demonstrate the power of probabilistic reasoning but also to offer a transparent and reproducible workflow using Stan through R.

All source code, data, and scripts used to generate this book are available on GitHub