Advancing the Power of Learning Analytics and Big Data in Education
5% Pre Publication Discount available until one month after release.

Advancing the Power of Learning Analytics and Big Data in Education

Ana Azevedo (CEOS:PP, ISCAP, Polytechnic of Porto, Portugal), José Manuel Azevedo (CEOS:PP, ISCAP, Polytechnic of Porto, Portugal), James Onohuome Uhomoibhi (Ulster University, UK) and Ebba Ossiannilsson (International Council for Open and Distance Education (ICDE), Norway & European Distance and e-Learning Network (EDEN), UK & Swedish Association for Distance Education (SADE), Sweden)
Release Date: March, 2021|Copyright: © 2021 |Pages: 296|DOI: 10.4018/978-1-7998-7103-3
ISBN13: 9781799871033|ISBN10: 1799871037|EISBN13: 9781799871040|ISBN13 Softcover: 9781799885658
Hardcover:
Forthcoming
$148.20
List Price: $195.00
20% Discount:-$39.00
5% Discount:-$7.80
TOTAL SAVINGS: $46.80
E-Book:
Available
$148.20
List Price: $195.00
20% Discount:-$39.00
5% Discount:-$7.80
TOTAL SAVINGS: $46.80
Hardcover +
E-Book:
Forthcoming
$178.60
List Price: $235.00
20% Discount:-$47.00
5% Discount:-$9.40
TOTAL SAVINGS: $56.40
Softcover:
Forthcoming
$114.00
List Price: $150.00
20% Discount:-$30.00
5% Discount:-$6.00
TOTAL SAVINGS: $36.00
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Description

The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments.

Advancing the Power of Learning Analytics and Big Data in Education provides insights concerning the use of learning analytics, the role and impact of analytics on education, and how learning analytics are designed, employed, and assessed. The chapters will discuss factors affecting learning analytics such as human factors, geographical factors, technological factors, and ethical and legal factors. This book is ideal for teachers, administrators, teacher educators, practitioners, stakeholders, researchers, academicians, and students interested in the use of big data and learning analytics for improved student success and educational environments.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Adaptive Learning Analytics
  • Big Data
  • Decision Making
  • Educational Data Mining
  • Learning Analytics
  • Learning Processes
  • Neural Networks
  • Online Learning Environments
  • Predictive Analysis
  • Teacher Professional Development
  • Universal Values and Learning Analytics

Table of Contents and List of Contributors

Search this Book:
Reset