Science, Data and Decisions in New Zealand's Education System PDF Download

Author: Benjamin Riley
Publisher:
ISBN: 9781877502545
Category : Education and state
Languages : en
Pages : 57

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Author: Megan Lourie
Publisher: Springer Nature
ISBN: 9811629080
Category : Education
Languages : en
Pages : 106

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Book Description
This book offers new ideas for thinking about how more equitable outcomes might be achieved in New Zealand so that all students are well-equipped to live and work in contemporary society. It addresses a social justice concern about access to the unique affordances of subject knowledge which comprises two forms of knowledge - propositional (knowledge-that) and applied knowledge (know-how-to). The book provides perspectives on curriculum design by grounding arguments in a theory of knowledge. It describes the different knowledge forms of the theory, and argues that understanding these differences is significant for curriculum design and enactment. It explains why the current imbalance between knowledge forms is a problem, and offers suggestions for change. Understanding about knowledge itself enables more just and equitable outcomes for all students. This book illustrates how different knowledge types and forms can be used together productively to help students develop adaptive expertise for the 21st century, making it a valuable contribution to the field of education.

Author: Claire Wyatt-Smith
Publisher: Springer
ISBN: 9811320268
Category : Education
Languages : en
Pages : 340

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Book Description
This is the foundational book for the new series, Teacher Education, Learning Innovation and Accountability. The book canvasses research, practice and policy perspectives in teacher education across diverse geographic, social and political contexts. It explores the lifespan of teacher development from initial preparation through to graduate classroom practice as it occurs in an intensifying culture of standards and regulation. The characterization of initial teacher education (ITE) in a crucible of change permeates throughout the book. The chapters open up new ways of thinking about innovation and accountability in ITE and the professionalization of teaching, exploring fundamental questions, such as “Who are the actors in teacher preparation and how do they interact? How can we learn about the quality of teacher education? Where can we hear the voices of teacher educators and preservice teachers, as well as school-based teacher educators? What are the new and emerging roles of others in teacher education who have not been involved previously, including employing authorities?” (p. 22). While the book provides responses to these and other provocative questions, it also offers new insights into innovative teacher education from a wide range of policy and practice contexts.

Author: Kim Schildkamp
Publisher: Springer Science & Business Media
ISBN: 9400748159
Category : Education
Languages : en
Pages : 221

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Book Description
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.

Author: Briar Lipson
Publisher:
ISBN: 9780995131125
Category : Education
Languages : en
Pages : 151

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Book Description

Author: Kim Schildkamp
Publisher: Springer Science & Business Media
ISBN: 9400748167
Category : Education
Languages : en
Pages : 221

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Book Description
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.

Author: Ben Williamson
Publisher: SAGE
ISBN: 1526416344
Category : Education
Languages : en
Pages : 257

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Book Description
Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!

Author: Gabrielle Matters
Publisher: Australian Council for Educational Research
ISBN: 9780864316929
Category : Curriculum planning
Languages : en
Pages : 60

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Book Description
Examines the issues raised by the ACER Research Conference 2005. Analyses conference papers, distils essence of conference 'conversations' and contextualises them in the light of Australian and international literature.

Author: Michael Crossley
Publisher: Bloomsbury Publishing
ISBN: 1472503589
Category : Education
Languages : en
Pages : 385

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Book Description
This book provides an up-to-date and well-grounded analysis of education in Australia, New Zealand and the Pacific, including Cook Islands, Federated States of Micronesia, Fiji, Kiribati, Marshall Islands, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu, and Vanuatu. Leading writers from throughout this region identify contemporary educational challenges, issues, and priorities while drawing upon their own ongoing empirical research. Key themes include the impact of international trends and developments; educational reform and the quality of education; indigenous learning; inclusivity; aid and development co-operation; and the changing role and place of tertiary education. Detailed studies of specific educational systems and developments are considered in the light of broader analyses that run throughout the volume.

Author: Wang, John
Publisher: IGI Global
ISBN: 1799892212
Category : Computers
Languages : en
Pages : 3296

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Book Description
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.