Learning analytics goes to school : a collaborative approach to improving education
著者
書誌事項
Learning analytics goes to school : a collaborative approach to improving education
Routledge, 2018
- : hardback
- : pbk.
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注記
Includes bibliographical references and index
収録内容
- Data used in educational data-intensive research
- Methods used in educational data-intensive research
- Legal and ethical issues in using educational data
- Foundations of collaborative applications of educational data mining and learning analytics
- Supporting conditions for collaborative data-intensive improvement
- Phases of collaborative data-intensive improvement
- Lessons learning and prospects for the future
内容説明・目次
内容説明
Learning Analytics Goes to School presents a framework for engaging in education research and improving education practice through the use of newly available data sources and analytical approaches. The application of data-intensive research techniques to understanding and improving learning environments has been growing at a rapid pace. In this book, three leading researchers convey lessons from their own experiences-and the current state of the art in educational data mining and learning analytics more generally-by providing an explicit set of tools and processes for engaging in collaborative data-intensive improvement.
目次
1. Introduction 2. Data Used in Educational Data-Intensive Research 3. Methods Used in Educational Data-Intensive Research 4. Legal and Ethical Issues in Using Educational Data 5. Foundations of Collaborative Applications of Educational Data Mining and Learning Analytics 6. Supporting Conditions for Collaborative Data-Intensive Improvement 7. Five Phases of Collaborative Data-Intensive Improvement 8. Lessons Learned and Prospects for the Future
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