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Springer : Data Analytics in Higher Education Learning Book

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Description

This Springer publication explores how data science transforms higher education learning and teaching. The text focuses on improving personalization, access, and educational effectiveness for all students through advanced analytics. By utilizing educational data mining and learning analytics, higher education institutions and stakeholders can gain significant advantages. The book details how different data analytics strategies produce summative, real-time, and predictive or prescriptive insights. Readers will learn how extracting useful information from large collections of data can lead to better recommendations and improved academic outcomes across global institutions.

Key Features

This Springer book provides global knowledge on applying data science to transform higher education teaching and learning.

Learn how to use educational data mining to extract useful information from large collections of data.

The text covers various data analytics strategies to produce real-time, summative, and predictive insights.

Explore how learning analytics can improve the personalization and effectiveness of education for all students.

Gain access to prescriptive recommendations designed for higher education institutions and involved stakeholders.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
12 August 2021
Listed Since
15 July 2021

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