Reflective Assessment for Deep Learning and Knowledge Building
Reflective Assessment for Deep Learning and Knowledge Building

Author: Chunlin Lei

Publisher: Taylor & Francis

Published: 2024-06-14

Total Pages: 235

ISBN-13: 1040049311

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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.

Promoting Spontaneous Use of Learning and Reasoning Strategies
Promoting Spontaneous Use of Learning and Reasoning Strategies

Author: Emmanuel Manalo

Publisher: Routledge

Published: 2017-10-03

Total Pages: 380

ISBN-13: 1317190289

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In this book, scholars from around the world develop viable answers to the question of how it may be possible to promote students’ spontaneity in the use of learning and reasoning strategies. They combine their expertise to put forward new theories and models for understanding the underlying mechanisms; provide details of new research to address pertinent questions and problems; and describe classroom practices that have proven successful in promoting spontaneous strategy use. This book is a must for educators and researchers who truly care that schooling should cultivate learning and reasoning strategies in students that would prepare and serve them for life. A seminal resource, this book will address the basic problem that many educators are well acquainted with: that students can learn how to effectively use learning and reasoning strategies but not use them of their own volition or in settings other than the one in which they learned the strategies.

Preparing Teachers for Deeper Learning
Preparing Teachers for Deeper Learning

Author: Linda Darling-Hammond

Publisher: Harvard Education Press

Published: 2021-02-08

Total Pages: 477

ISBN-13: 1682532941

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Preparing Teachers for Deeper Learning answers an urgent call for teachers who educate children from diverse backgrounds to meet the demands of a changing world. In today’s knowledge economy, teachers must prioritize problem-solving ability, adaptability, critical thinking, and the development of interpersonal and collaborative skills over rote memorization and the passive transmission of knowledge. Authors Linda Darling-Hammond and Jeannie Oakes and their colleagues examine what this means for teacher preparation and showcase the work of programs that are educating for deeper learning, equity, and social justice. Guided by the growing knowledge base in the science of learning and development, the book examines teacher preparation programs at Alverno College, Bank Street College of Education, High Tech High’s Intern Program, Montclair State University, San Francisco Teacher Residency, Trinity University, and University of Colorado Denver. These seven programs share a common understanding of how people learn that shape similar innovative practices. With vivid examples of teaching for deeper learning in coursework and classrooms; interviews with faculty, school partners, and novice teachers; surveys of teacher candidates and graduates; and analyses of curriculum and practices, Preparing Teachers for Deeper Learning depicts transformative forms of teaching and teacher preparation that honor and expand all students’ abilities, knowledges, and experiences, and reaffirm the promise of educating for a better world.

Deep Learning
Deep Learning

Author: Michael Fullan

Publisher: Corwin Press

Published: 2017-11-06

Total Pages: 209

ISBN-13: 150636859X

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New Pedagogies for Deep Learning (NDPL) provides a comprehensive strategy for systemwide transformation. Using the 6 competencies of NDPL and a wealth of vivid examples, Fullan re-defines and re-examines what deep learning is and identifies the practical strategies for revolutionizing learning and leadership.

International Conference on Humanity and Social Science, (ICHSS2014)
International Conference on Humanity and Social Science, (ICHSS2014)

Author:

Publisher: DEStech Publications, Inc

Published: 2014-07-15

Total Pages: 435

ISBN-13: 1605951951

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The conference will be held in Guangzhou, China during June 29-30, 2014. The aim objective of ichss2014 is to present the latest research and results of scientists related to Humanity and Social Science topics. This conference provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up to date scientific field. ichss2014 is supposed to be the largest technical event on Humanity and Social Science in Guangzhou in 2014. The focus of the conference is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students from all over the world. The organizing committee of conference is pleased to invite prospective authors to submit their original manuscripts to ichss2014. As preparation for ICSS2014, hundreds of contributions were received and reviewed. Most of these contributions have brought us a new possible solution to our problems; some of them can even be called as a breakthrough. All these researches have been included in this book. I believe it will be of great value to your future study.

Knowledge Building and Regulation in Computer-Supported Collaborative Learning
Knowledge Building and Regulation in Computer-Supported Collaborative Learning

Author: Lanqin Zheng

Publisher: Springer

Published: 2016-10-14

Total Pages: 170

ISBN-13: 981101972X

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This book proposes and validates an information flow approach to analyzing knowledge co-construction and predicting group performance in the context of collaborative learning. In addition, it highlights the importance of socially shared regulation in collaborative learning, and illustrates in detail how it can be analyzed and promoted. The book investigates several innovative examples, including: Methodological approaches to studying and analyzing knowledge building and regulation in collaborative learning; Social software tools for capturing the dynamics of knowledge building and regulation in collaborative learning; Collective regulatory mechanisms to scaffold socially shared regulation in real-life collaborative learning; and Scripts and interventions to facilitate effective and productive collaborative learning on the basis of several case studies. The original methodological contributions to the analysis of knowledge building and scaffolding socially shared regulation make this an essential read for anyone interested in collaborative learning. This book will also be of interest to a wide audience of researchers, teachers, and students in the field of collaborative learning, as well as the rapidly growing community of people investigating how collaborative learning can be effectively used in education.

The International Handbook of Collaborative Learning
The International Handbook of Collaborative Learning

Author: Cindy E. Hmelo-Silver

Publisher: Routledge

Published: 2013-03-05

Total Pages: 530

ISBN-13: 1136869549

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Collaborative learning has become an increasingly important part of education, but the research supporting it is distributed across a wide variety of fields including social, cognitive, developmental, and educational psychology, instructional design, the learning sciences, educational technology, socio-cultural studies, and computer-supported collaborative learning. The goal of this book is to integrate theory and research across these diverse fields of study and, thereby, to forward our understanding of collaborative learning and its instructional applications. The book is structured into the following 4 sections: 1) Theoretical Foundations 2) Research Methodologies 3) Instructional Approaches and Issues and 4) Technology. Key features include the following: Comprehensive and Global – This is the first book to provide a comprehensive review of the widely scattered research on collaborative learning including the contributions of many international authors. Cross disciplinary – The field of collaborative learning is highly interdisciplinary drawing scholars from psychology, computer science, mathematics education, science education, and educational technology. Within psychology, the book brings together perspectives from cognitive, social, and developmental psychology as well as from the cross-disciplinary field of the learning sciences. Chapter Structure – To ensure consistency across the book, authors have organized their chapters around integrative themes and issues. Each chapter author summarizes the accumulated literature related to their chapter topic and identifies the strengths and weaknesses of the supporting evidence. Strong Methodology – Each chapter within the extensive methodology section describes a specific methodology, its underlying assumptions, and provide examples of its application. This book is appropriate for researchers and graduate level instructors in educational psychology, learning sciences, cognitive psychology, social psychology, computer science, educational technology, teacher education and the academic libraries serving them. It is also appropriate as a graduate level textbook in collaborative learning, computer-supported collaborative learning, cognition and instruction, educational technology, and learning sciences.

Science Education in East Asia
Science Education in East Asia

Author: Myint Swe Khine

Publisher: Springer

Published: 2015-09-03

Total Pages: 624

ISBN-13: 3319163906

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This book presents innovations in teaching and learning science, novel approaches to science curriculum, cultural and contextual factors in promoting science education and improving the standard and achievement of students in East Asian countries. The authors in this book discuss education reform and science curriculum changes and promotion of science and STEM education, parental roles and involvement in children's education, teacher preparation and professional development and research in science education in the context of international benchmarking tests to measure the knowledge of mathematics and science such as the Trends in Mathematics and Science Study (TIMSS) and achievement in science, mathematics and reading like Programme for International Student Assessment (PISA). Among the high achieving countries, the performance of the students in East Asian countries such as Singapore, Taiwan, Korea, Japan, Hong Kong and China (Shanghai) are notable. This book investigates the reasons why students from East Asian countries consistently claim the top places in each and every cycle of those study. It brings together prominent science educators and researchers from East Asia to share their experience and findings, reflection and vision on emerging trends, pedagogical innovations and research-informed practices in science education in the region. It provides insights into effective educational strategies and development of science education to international readers.

Fuzzy Systems and Data Mining IX
Fuzzy Systems and Data Mining IX

Author: A.J. Tallón-Ballesteros

Publisher: IOS Press

Published: 2023-12-19

Total Pages: 980

ISBN-13: 164368471X

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Fuzzy systems and data mining are indispensible aspects of the digital technology on which we now all depend. Fuzzy logic is intrinsic to applications in the electrical, chemical and engineering industries, and also in the fields of management and environmental issues. Data mining is indispensible in dealing with big data, massive data, and scalable, parallel and distributed algorithms. This book presents the proceedings of FSDM 2023, the 9th International Conference on Fuzzy Systems and Data Mining, held from 10-13 November 2023 as a hybrid event, with some participants attending in Chongqing, China, and others online. The conference focuses on four main areas: fuzzy theory, algorithms and systems; fuzzy application; data mining; and the interdisciplinary field of fuzzy logic and data mining, and provides a forum for experts, researchers, academics and representatives from industry to share the latest advances in the field of fuzzy sets and data mining. This year, topics from two special sessions on granular-ball computing and the application of generative AI, as well as machine learning and neural networks, were also covered. A total of 363 submissions were received, and after careful review by the members of the international program committee, 110 papers were accepted for presentation at the conference and publication here, representing an acceptance rate of just over 30%. Covering a comprehensive range of current research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.