Reflective Assessment for Deep Learning and Knowledge Building
eBook - ePub

Reflective Assessment for Deep Learning and Knowledge Building

An Empirical Case in China

Chunlin Lei

  1. 214 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Reflective Assessment for Deep Learning and Knowledge Building

An Empirical Case in China

Chunlin Lei

Book details
Table of contents
Citations

About This Book

Knowledge building aims to transform schools into learning communities and bring knowledge creation into schools. The book therefore elaborates on how learning, technology, and assessment can be aligned both online and offline to facilitate such a process.

Adopting a quasi-experimental design and drawing on rich data from forum discussions, questionnaires, interviews, learning outcomes, and classroom presentations, this book shows that the knowledge building environment, augmented by reflective assessment and principles, helped Chinese students to develop a deeper approach to learning, improved academic performance, and promoted collective knowledge advances. The book also discusses the potentials and challenges of designing technology-supported, assessment- and principle-based learning environments in tertiary contexts, especially when deep learning and knowledge building capacity are greatly emphasised in the knowledge era.

The book will be of interest to scholars and educators working in learning sciences and computer-supported collaborative learning.

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Information

Publisher
Routledge
Year
2024
ISBN
9781040049310

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. List of figures
  7. List of tables
  8. Preface
  9. Acknowledgements
  10. 1 Introduction
  11. 2 Computer-supported collaborative learning environments
  12. 3 Alignment of learning, assessment, collaboration, and instruction
  13. 4 Research design
  14. 5 Instructional effects on learning approaches, collaboration, and academic performances
  15. 6 Knowledge building processes and their relationship with academic performance and understanding
  16. 7 Characterising collaborative knowledge building
  17. 8 Reflective assessment for collective knowledge advances
  18. 9 Designing knowledge building environments in China
  19. 10 Conclusion and future directions
  20. Appendix I: The Study Process Questionnaire
  21. Appendix II: Questionnaire on Collaboration
  22. Appendix III: Pre-domain test
  23. Appendix IV: Marking rubrics for individual report
  24. Appendix V: Assessment sheet for individual report writing
  25. Appendix VI: An example of e-group portfolio
  26. Index
Citation styles for Reflective Assessment for Deep Learning and Knowledge Building

APA 6 Citation

Lei, C. (2024). Reflective Assessment for Deep Learning and Knowledge Building (1st ed.). Routledge. Retrieved from https://www.perlego.com/book/4405718 (Original work published 2024)

Chicago Citation

Lei, Chunlin. (2024) 2024. Reflective Assessment for Deep Learning and Knowledge Building. 1st ed. Routledge. https://www.perlego.com/book/4405718.

Harvard Citation

Lei, C. (2024) Reflective Assessment for Deep Learning and Knowledge Building. 1st edn. Routledge. Available at: https://www.perlego.com/book/4405718 (Accessed: 25 June 2024).

MLA 7 Citation

Lei, Chunlin. Reflective Assessment for Deep Learning and Knowledge Building. 1st ed. Routledge, 2024. Web. 25 June 2024.