Advancing the power of learning analytics and big data in education [electronic resource] / Ana Azevedo, Jose Manuel Azevedo, James Onohuome Uhomoibhi, Ebba Siv Ingegárd Ossiannilsson, editors.
- 其他作者：
- 出版： Hershey, Pennsylvania : IGI Global 2021.
- 主題： Educational technology--Research--Methodology. , Education--Data processing. , Computer-assisted instruction. , Electronic books.
- ISBN： 9781799871040 (ebook) 、 1799871045 、 9781799871033 、 9781799885658 (softcover)
- URL：
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- 一般註：Includes bibliographical references and index. 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. 112年度臺灣學術電子書暨資料庫聯盟採購
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讀者標籤：
- 系統號： 000306357 | 機讀編目格式
館藏資訊
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.
摘要註
"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"--
