Reflective Assessment for Deep Learning and Knowledge Building: An Empirical Case in China

By: Chunlin Lei

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Synopsis: 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.

Book Quality:: Publisher Quality
Book Size:: 202 Pages
ISBN-13:: 9781040049310
Related ISBNs:: 9781040049280, 9781032788081, 9781003489375
Publisher:: Taylor & Francis
Date of Addition:: 06/13/24
Copyrighted By:: Chunlin Lei, The right of Chunlin Lei to be identified as author of this work has been asserted in accordance with sections
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Psychology, Education
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.