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Advancing the power of learning analytics and big data in education / Ana Azevedo, Jose Manuel Azevedo, James Onohuome Uhomoibhi, Ebba Siv Ingegärd Ossiannilsson, editors.
- Format:
- Book
- Author/Creator:
- Azevedo, Ana, author.
- Language:
- English
- Subjects (All):
- Educational technology--Research--Methodology.
- Educational technology.
- Education--Data processing.
- Education.
- Computer-assisted instruction.
- Physical Description:
- 23 PDFs (296 pages)
- Place of Publication:
- Hershey, Pennsylvania : Information Science Reference, an imprint of IGI Global, [2021]
- System Details:
- Mode of access: World Wide Web.
- Summary:
- "This book reports on the role and impact of learning analytics training and development in education, investigating how various stakeholders are engaged in the design, deployment and assessment of successful and sustainable learning analytics"-- Provided by publisher.
- Contents:
- 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.
- Notes:
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 9781799871040
- OCLC:
- 1193560157
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