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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.
Feedback matters for everyone committed to school improvement. Rather than tweaking flawed assessment tools, it is time to consider developing more meaningful feedback systems the impact the critical masses that make up the school community. Cultivating new assessment approaches for students, staff, as well as non-instructional staff, teacher-leaders, principals, superintendents, trustees and grant/philanthropic funders, can lead to remarkable change. The goal of learning for students should not be separate or secondary to performing well on standardized tests. Implementing feedback systems that engage and prompt critical and creative thinking should matter more in today’s schools. Assessment tools that explicitly align with expectations not only create a fair playing field, but they can enhance deep learning. Assessment Tools and Systems: Meaningful Feedback Approaches to Promote Critical and Creative Thinking presents a comprehensive compilation of constructive assessment choices grounded in educational research that emerged through 60 years of experiences as a student, teacher, principal, teacher educator, consultant, school founder, school trustee and educational philanthropist.
This book explores and builds on the extraordinary work of Professor Paul Black across assessment and pedagogy across the curriculum, including STEM, humanities and social science subjects. This book explores the influence that Black has had within educational settings focusing on interpretations of the work and scholarship he has achieved across a range of settings and on the ways scholars, who have worked with him or been influenced by his ideas, have developed their research and teaching. The contributions are presented under three thematic sections, each of which reflects a set of shared educational concerns and values drawing on the natural and social sciences and developments in public policy. These concerns and values, with their emphasis on teacher assessment, provide a basis for a strategic, informed and coherent response to challenges in education, such as the cancellation of public examinations in the face of the Covid-19 pandemic.
This book brings together policymaker and practitioner knowledge, experiences, and perspectives on the interaction between the assessment and inclusion agenda to the fore. The book’s analysis is built on comparative qualitative data from five different countries on four continents: Argentina, China, Denmark, England, and Israel. These countries have been chosen for their distinctive, and even contrasting, education policies, sociocultural and economic circumstances, and variations in performance across supranational and national standardised student assessments. In addressing these specific contexts, the book provides insights into the pitfalls and synergies which emerge as key stakeholders attempt to mediate these two educational concerns in both policy and practice.
Digital Education Outlook 2023 provides a comparative, thematic analysis of how countries shape or could shape their digital ecosystem.
Digital Teaching, Learning and Assessment: The Way Forward is the result of the continuous discussion taking place in the teaching and learning space of what the future holds for academics and their stakeholders, post pandemic students. The editors of this book work in the teaching and learning domain and consider such discussion critical to ensure that students of the future are well serviced by all concerned. The book brings such discussions to one platform where academics, administrators and other stakeholders like researchers and regulatory bodies ponder ideas and practices and how the digital world will dominate and change the teaching/learning space. Provides the new post-pandemic audience a futuristic look at the new digital world Covers how practitioners perceive this new era Enables administrators to have a glance at the possibilities of teaching and learning of the future Gives regulatory bodies a glimpse of the future as they try to find how QA would be for such teaching and learning that deviates significantly from didactic approaches
This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice. EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge about learning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning!
This book provides a scholarly investigation of the new era we have entered, in which platforms can replace or profoundly modify educational systems, and questions the role of educational policy in this new stage of platform-based digital technology. The contributors explore important questions around who controls these transformations, what form they are taking, what the balance between national education policies and Big Tech education solutions should be, as well as whether there should be a public platform in every education system that digitally expands learning, and what evidence there is that learning will be more efficient using these platforms. The first part provides a selection of empirical studies on the new digital educational policy, and an analysis of the real opportunities and concerns that governments face in this regard, while the second offers reflections on the processes of platformization and the role of the state in this new digital world. Uniquely examining the temporal evolution of these changes and taking a theoretical, political, and epistemological approach, it crucially opens pathways for dialogical and diverse critical thinking about profound problems and possibilities. Gathering purposeful thinking that creates space for design solutions and rethinking educational systems considering these new technological artefacts, it will appeal to researchers and specialists in the fields of educational technology and educational policy.
Providing a comprehensive, global overview of the digitalisation of education, the World Yearbook of Education 2024 examines the ways advanced digital technologies are transforming educational practices, institutions and policy processes. Establishing a critical research agenda for analysing the digitalisation of education, the carefully selected chapters in this collection interrogate the current impacts of new digital technologies, emerging controversies over emerging data practices and future implications of algorithmic systems, automated decision-making and AI in education. Organised into four sections, the contributions in the collection examine the following: The historical, scientific and technical foundations of contemporary digitalisation in education The political and economic dynamics that underpin the education technology industry and new platform models of education How algorithms, automation and AI support new modes of data-driven governance and control of education systems Controversies over the inequitable effects of digitalisation in education, and proposals for data justice, ethics and regulation This resource is ideal reading for researchers, students, educational practitioners and policy officials interested in understanding the future of digital technologies in education.