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Data Driven Approaches in Digital Education

Data Driven Approaches in Digital Education
Author: Élise Lavoué
Publisher: Springer
Total Pages: 635
Release: 2017-09-04
Genre: Education
ISBN: 331966610X
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This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017. The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to explore the multidisciplinary approaches thateectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.

Big Data in Education

Big Data in Education
Author: Ben Williamson
Publisher: SAGE
Total Pages: 281
Release: 2017-07-24
Genre: Education
ISBN: 1526416328
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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!

Data-Driven School Improvement

Data-Driven School Improvement
Author: Ellen B. Mandinach
Publisher: Teachers College Press
Total Pages: 296
Release: 2008
Genre: Education
ISBN: 0807775509
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The first comprehensive examination of the field, this book brings together stakeholders representing a variety of perspectives to explore how educators actually use data and technology tools to achieve lasting improvement in student performance. Contributors: David V. Abbott, Carrie Amon, Jonathan Bertfield, Cornelia Brunner, Fred Carrigg, Jere Confrey, Katherine Conoly, Valerie M. Crawford, Chris Dede, John Gasko, Greg Gunn, Juliette Heinze, Naomi Hupert, Sherry P. King, Mary Jane Kurabinski, Daniel Light, Lisa Long, Michael Merrill, Liane Moody, William R. Penuel, Luz M. Rivas, Mark S. Schlager, John Stewart, Sam Stringfield, Ronald Thorpe, Yukie Toyama, Jeffrey C. Wayman, and Viki M. Young. “If you want to understand usable knowledge, read Data-Driven School Improvement.” —Ellen Condliffe Lagemann, Harvard University “It is reassuring to know that at least some of the data being generated in our data-driven age are being used to make wiser decisions. We can all learn from these illustrative accounts.” —David C. Berliner, Mary Lou Fulton College of Education, Arizona State University “Replete with examples from real schools and districts, this volume provides a multi-layered portrait of what it takes to establish a culture of data use. Readers will come away with an appreciation of the systemic changes needed to reap the full potential of data-driven decision making.” —Barbara Means, Center for Technology in Learning, SRI International

OECD Digital Education Outlook 2021 Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots

OECD Digital Education Outlook 2021 Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots
Author: OECD
Publisher: OECD Publishing
Total Pages: 252
Release: 2021-06-08
Genre:
ISBN: 9264904646
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How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems.

Data-Driven Science and Engineering

Data-Driven Science and Engineering
Author: Steven L. Brunton
Publisher: Cambridge University Press
Total Pages: 615
Release: 2022-05-05
Genre: Computers
ISBN: 1009098489
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A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Enhancing Education With Intelligent Systems and Data-Driven Instruction

Enhancing Education With Intelligent Systems and Data-Driven Instruction
Author: Madhulika Bhatia
Publisher:
Total Pages: 0
Release: 2024-03-04
Genre: Education
ISBN:
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In the dynamic environment of education, the traditional methods employed by educators are struggling to keep pace with the evolving needs of students in the 21st century. The challenge lies in fostering an environment that not only engages students but also equips them with the skills essential for the modern world. Teachers find themselves navigating a complex terrain where outdated pedagogical approaches fall short of unlocking the full potential of diverse learning styles and unique talents within their classrooms. Enhancing Education With Intelligent Systems and Data-Driven Instruction is a groundbreaking book that goes beyond the constraints of conventional teaching methods, offering a comprehensive guide that inspires and equips educators with innovative tools and approaches. From integrating innovative technology to cultivating collaborative learning environments, the book provides a roadmap for educators to reimagine their teaching practices. By embracing student-centered approaches, fostering diversity, and utilizing digital tools effectively, this book empowers teachers to transform their classrooms into dynamic hubs of inspiration, motivation, and empowerment.

Data-based Decision Making in Education

Data-based Decision Making in Education
Author: Kim Schildkamp
Publisher: Springer Science & Business Media
Total Pages: 221
Release: 2012-09-18
Genre: Education
ISBN: 9400748159
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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.

Learning Analytics Goes to School

Learning Analytics Goes to School
Author: Andrew Krumm
Publisher: Routledge
Total Pages: 275
Release: 2018-01-12
Genre: Education
ISBN: 1317307860
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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.

Harnessing Formative Data for K-12 Leaders

Harnessing Formative Data for K-12 Leaders
Author: Stepan Mekhitarian
Publisher: CRC Press
Total Pages: 161
Release: 2022-10-19
Genre: Education
ISBN: 1000686027
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Harnessing Formative Data for K-12 Leaders prepares school and district leaders to re-evaluate how real-time formative data can inform policy, planning, and professional development. The importance of effective formative data use has escalated since the expansion of distance learning and the integration of digital education tools, which have impacted the consistency, accuracy, availability, and actionability of data points that leaders rely on. This book’s strategic insights into actionable, organizational-level formative data use will yield differentiated supports for schools to foster greater academic outcomes, a culture of equity and social-emotional well-being, and students’ readiness for college, career, and lifelong learning. Each chapter includes connections to social justice, best practices for applying data points and field-tested tips for technology integration, and a host of interactive planning guides to support implementation.