Educational Research And Innovation Governing Education In A Complex World

What models of governance are effective in complex education systems? In all systems an increasing number of stakeholders are involved in designing, delivering and monitoring education.

Governing multi-level education systems requires governance models that balance responsiveness to local diversity with the ability to ensure national objectives.

This report takes stock of processes that promote the systematic use of evidence in decision making in Austria’s education system. It builds on an online survey among over 6500 decision makers, drawing on responses from executives in the Austrian Federal Ministry for Education, Science and Research; regional education directorates; school supervision and school leaders.

In today's dynamic and rapidly evolving world, evidence-informed decision-making has emerged as a cornerstone in guiding effective education policy and practice. In particular, creating a culture of research engagement is often highlighted as a key ingredient to strengthening the impact of research. However, it is not always clear how that works in practice.

This report serves as the background report to the third Global Education Industry Summit which was held on 25-26 September 2017 in Luxembourg.

Across the OECD, enormous effort and investment has been made to reinforce the quality, production and use of education research in policy and practice. Despite this, using research in education remains a challenge for many countries and systems.

Inspired by the ground-breaking 2001 Schooling for Tomorrow scenarios, this book provides a set of scenarios on the future of schooling, showing not a single path into the future, but many. Using these scenarios can help us identify the opportunities and challenges that these futures could hold for schooling and education more broadly. We can then use those ideas to help us better prepare and act now.

What is data intelligence? How can data intelligence influence education system systematically? The paradigm shift of scientific research implies a coming age of data-driven educational research and practice. This book presents research and practice of data intelligence in education from three levels: (i) educational governance, (ii) teaching practice, and (iii) student learning. Each chapter gives an analysis of fundamental knowledge, key themes, the state-of-the-art technologies and education application cases. This interdisciplinary book is essential reading for anyone interested in applying big data technology in education and for different stakeholders including education administrators, teachers, students, and researchers to broaden their minds to wisely use educational data to solve complex problems in the education field.

Addressing teacher education in all its complexity is fundamental to ensuring that all students reach their potential in today’s increasingly diverse classrooms and rapidly changing environment.

Policymaking has always been a matter of making choices, managing trade-offs and balancing multiple goals and priorities to make complex budgetary decisions. Yet, the past few years have seen a rising number of priorities facing policymakers, hence mounting pressure to enhance the efficiency of public spending.