Despite the increasing influence of data technologies on our world, many people still lack a profound understanding of what this ›datafication‹ means for their lives and our societies. Ina Sander argues that this knowledge gap cannot be addressed by digital skills alone, but that more critical and empowering approaches are needed. Through a review of existing literacies, an analysis of established education concepts, and empirical research on online educational resources about datafication, she develops a framework for »critical datafication literacy«. Novel insights on the design strategies, pedagogical methods and challenges of practitioners who foster such education add to her analysis.
This book attends to the transformation of processes and practices in education, relating to its increasing digitisation and datafication. The introduction of new means to measure, capture, describe and represent social life in numbers has not only transformed the ways in which teaching and learning are organised, but also the ways in which future generations (will) construct reality with and through data. Contributions consider data practices that span across different countries, educational fields and governance levels, ranging from early childhood education, to schools, universities, educational technology providers, to educational policy making and governance. The book demonstrates how digital data not only support decision making, but also fundamentally change the organisation of learning and teaching, and how these transformation processes can have partly ambivalent consequences, such as new possibilities for participation, but also the monitoring and emergence/manifestation of inequalities. Focusing on how data can drive decision making in education and learning, this book will be of interest to those studying both educational technology and educational policy making. The chapters in this book were originally published in Learning, Media and Technology. Chapter 4 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Teaching students about data is becoming increasingly important to the wider purposes of schooling and education. Bringing together international case studies of innovative responses to datafication, this book sets an agenda for how teachers, students and policy makers can best understand what kind of educational intervention works and why.
The Handbook of Critical Literacies aims to answer the timely question: what are the social responsibilities of critical literacy academics, researchers, and teachers in today’s world? Critical literacies are classically understood as ways to interrogate texts and contexts to address injustices and they are an essential literacy practice. Organized into thematic and regional sections, this handbook provides substantive definitions of critical literacies across fields and geographies, surveys of critical literacy work in over 23 countries and regions, and overviews of research, practice, and conceptual connections to established and emerging theoretical frameworks. The chapters on global critical literacy practices include research on language acquisition, the teaching of literature and English language arts, Youth Participatory Action Research, environmental justice movements, and more. This pivotal handbook enables new and established researchers to position their studies within highly relevant directions in the field and engage, organize, disrupt, and build as we work for more sustainable social and material relations. A groundbreaking text, this handbook is a definitive resource and an essential companion for students, researchers, and scholars in the field.
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!
This Open Access book examines the ambivalences of data power. Firstly, the ambivalences between global infrastructures and local invisibilities challenge the grand narrative of the ephemeral nature of a global data infrastructure. They make visible local working and living conditions, and the resources and arrangements required to operate and run them. Secondly, the book examines ambivalences between the state and data justice. It considers data justice in relation to state surveillance and data capitalism, and reflects on the ambivalences between an "entrepreneurial state" and a "welfare state." Thirdly, the authors discuss ambivalences of everyday practices and collective action, in which civil society groups, communities, and movements try to position the interests of people against the "big players" in the tech industry. The book includes eighteen chapters that provide new and varied perspectives on the role of data and data infrastructures in our increasingly datafied societies. Andreas Hepp is Professor of Media and Communications and Head of ZeMKI, Centre for Media, Communication and Information Research, University of Bremen, Germany. He is the author of 12 monographs including The Mediated Construction of Reality (with Nick Couldry, 2017), Transcultural Communication (2015) and Cultures of Mediatization (2013). Juliane Jarke is a senior researcher at the Institute for Information Management Bremen (ifi b) and Centre for Media, Communication and Information Research (ZeMKI) at the University of Bremen, Germany. Jarke co-edited The Datafication of Education (with Andreas Breiter, 2019) and Probes as Participatory Design Practice (with Susanne Maa, 2018). Leif Kramp is a post-doctoral media, communication and history scholar and Research Coordinator of the Centre for Media, Communication and Information Research at the University of Bremen (ZeMKI), Germany. Kramp has authored and edited various books about the transformation of media and journalism and is a founding member of the German Association of Media and Journalism Criticism (VfMJ).
Three decades into the ‘digital age’, the promises of emancipation of the digital ‘revolution’ in education are still unfulfilled. Furthermore, digitalization seems to generate new and unexpected challenges – for example, the unwarranted influence of digital monopolies, the radicalization of political communication, and the facilitation of mass surveillance, to name a few. This volume is a study of the downsides of digitalization and the re-organization of the social world that seems to be associated with it. In a critical perspective, technological development is not a natural but a social process: not autonomous from but very much dependent upon the interplay of forces and institutions in society. While influential forces seek to establish the idea that the practices of formal education should conform to technological change, here we support the view that education can challenge the capitalist appropriation of digital technology and, therefore, the nature and direction of change associated with it. This volume offers its readers intellectual prerequisites for critical engagement. It addresses themes such as Facebook’s response to its democratic discontents, the pedagogical implications of algorithmic knowledge and quantified self, as well as the impact of digitalization on academic profession. Finally, the book offers some elements to develop a vision of the role of education: what should be done in education to address the concerns that new communication technologies seem to pose more risks than opportunities for freedom and democracy.
This book provides a significant contribution to the increasing conversation concerning the place of big data in education. Offering a multidisciplinary approach with a diversity of perspectives from international scholars and industry experts, chapter authors engage in both research- and industry-informed discussions and analyses on the place of big data in education, particularly as it pertains to large-scale and ongoing assessment practices moving into the digital space. This volume offers an innovative, practical, and international view of the future of current opportunities and challenges in education and the place of assessment in this context.
Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.
Data literacy has become an essential skill set for teachers as education becomes more of an evidence-based profession. Teachers in all stages of professional growth need to learn how to use data effectively and responsibly to inform their teaching practices. This groundbreaking resource describes data literacy for teaching, emphasizing the important relationship between data knowledge and skills and disciplinary and pedagogical content knowledge. Case studies of emerging programs in schools of education are used to illustrate the key components needed to integrate data-driven decisionmaking into the teaching curricula. The book offers a clear path for change while also addressing the inherent complexities associated with change. Data Literacy for Educators provides concrete strategies for schools of education, professional developers, and school districts.
