Advancing the Power of Learning Analytics and Big Data in Education

Advancing the Power of Learning Analytics and Big Data in Education
PDF, ePUB
  • eBook:
    Advancing the Power of Learning Analytics and Big Data in Education
  • Author:
    Ana Azevedo, José Manuel Azevedo, James Onohuome Uhomoibhi, Ebba Ossiannilsson
  • Edition:
    1 edition
  • Categories:
  • Data:
    March 19, 2021
  • ISBN:
    1799871037
  • ISBN-13:
    9781799871033
  • Language:
    English
  • Pages:
    296 pages
  • Format:
    PDF, ePUB

Book 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.

Content

Section 1 - Background and Literature Review
Chapter 1. Current State of Learning Analytics: A Synthesis Review Based on the Combination of Activity Theory and Pedagogy
Chapter 2. Opportunities for Adopting Open Research Data in Learning Analytics
Chapter 3. Reflections on Adaptive Learning Analytics: Adaptive Learning Analytics

Section 2 - Organizational Issues
Chapter 4. Ethics in Predictive Learning Analytics: An Empirical Case Study on Students Perceptions in a Northern Irish University
Chapter 5. Learning Analytics and Education Data Mining in Higher Education
Chapter 6. The Practice of Gaining Universal Values Based on Learning Analytics Framework: Universal Values and Learning Analytics

Section 3 - Application Cases
Chapter 7. Learning Analytics in the Monitoring of Learning Processes: 3D Educational Collaborative Virtual Environments
Chapter 8. Learning Analytics as a Tool for Planning, Evaluating, and Improving a SMOOC for Teacher Professional Development: Higher Education Experience in a Brazil
Chapter 9. Social Learning Analytics: Learning How We Learn on YouTube

Section 4 - Some Technological Issues
Chapter 10. Big Data Analysis: Basic Review on Techniques
Chapter 11. Educational Data Mining Techniques and Applications

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