Machine Learning Paradigms, 1st ed. 2020
Advances in Learning Analytics
Intelligent Systems Reference Library Series, Vol. 158

This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators? and learners? data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including:

? Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation;

? Using learning analytics to predict student performance;

? Using learning analytics to create learning materials and educational courses; and

? Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning.

Presents recent machine learning paradigms and advances in learning analytics

Provides concise coverage from the vantage point of a newcomer, but will also appeal to experts/researchers in learning analytics

Features an extended list of bibliographic references that completely covers the relevant literature