Advancing the power of learning analytics and big data in education /

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Bibliographic Details
Imprint:Hershey, PA : Information Science Reference, an imprint of IGI Global, [2021]
Description:1 online resource.
Language:English
Series:Advances in educational technologies and instructional design (AETID) book series
Advances in educational technologies and instructional design.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12545570
Hidden Bibliographic Details
Other authors / contributors:Azevedo, Ana, editor.
Azevedo, Jose Manuel, 1966- editor.
Uhomoibhi, J. O., editor.
Ossiannilsson, Ebba, 1953- editor.
ISBN:9781799871040
1799871045
9781799871033
9781799885658
Notes:Includes bibliographical references and index.
Description based on online resource; title from digital title page (viewed on April 19, 2021).
Other form:Print version: Advancing the power of learning analytics and big data in education Hershey, PA : Information Science Reference, an imprint of IGI Global, [2021] 9781799871033
Table of Contents:
  • 1. Current State of Learning Analytics: A Synthesis Review Based on the Combination of Activity Theory and Pedagogy
  • 2. Opportunities for Adopting Open Research Data in Learning Analytics
  • 3. Reflections on Adaptive Learning Analytics: Adaptive Learning Analytics
  • 4. Ethics in Predictive Learning Analytics: An Empirical Case Study on Students Perceptions in a Northern Irish University
  • 5. Learning Analytics and Education Data Mining in Higher Education
  • 6. The Practice of Gaining Universal Values Based on Learning Analytics Framework: Universal Values and Learning Analytics
  • 7. Learning Analytics in the Monitoring of Learning Processes: 3D Educational Collaborative Virtual Environments
  • 8. Learning Analytics as a Tool for Planning, Evaluating, and Improving a SMOOC for Teacher Professional Development: Higher Education Experience in a Brazil
  • 9. Social Learning Analytics: Learning How We Learn on YouTube
  • 10. Big Data Analysis: Basic Review on Techniques
  • 11. Educational Data Mining Techniques and Applications