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Information Science Reference - Data Science & Learning Analytics

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Description

As training and academic institutions mature in data-driven decision making, understanding the intersection of data science and education becomes essential. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan examines how methodologies from machine learning and data science provide insights into the learning process through large-scale data analysis. This book explores novel and emerging applications within the domains of learning analytics and educational data mining. It addresses how organizations can benefit from sharing information regarding scalable and interesting trends. By studying these methodologies, readers gain a deeper understanding of how data-driven approaches can be applied across a learner's entire lifespan to improve educational outcomes and institutional decision making.

Key Features

This book by Information Science Reference examines novel and emerging applications of data science in educational settings.

Learn how methodologies from machine learning and data science are used to gain insights into the learning process.

Explore the growing field of learning analytics and educational data mining through the use of large amounts of data.

Understand how academic and training institutions utilize data-driven decision making to identify scalable trends.

Discover how organizations benefit from sharing information regarding data science efforts throughout a learner's lifespan.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
06 May 2022
Listed Since
04 February 2022

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