Learning Analytics Methods and Tutorials: A Practical Guide Using R

Our first open-access book is published by Springer! Learning Analytics Methods and Tutorials: A Practical Guide Using R contains 22 chapters across 736 pages — from R programming and data cleaning through machine learning, sequence analysis, process mining, network analysis, and psychometrics. Every chapter includes step-by-step R tutorials with real educational datasets. Edited with Sonsoles López-Pernas, with forewords by Dragan Gasevic and Ryan Baker. Freely available under CC BY 4.0.