The growth of education systems and the construction of the state have always been connected. The processes of governing education systems always utilized data through a range of administrative records, pupil testing, efficiency surveys and international projects. By the late twentieth century, quantitative data had gained enormous influence in education systems through the work of the OECD, the European Commission and national system agencies. The creation and flow of data has become a powerful governing tool in education. Comparison between pupils, costs, regions and states has grown ever more important. The visualization of this data, and its range of techniques, has changed over time, especially in its movement from an expert to a public act. Data began to be explained to a widening audience to shape its behaviours and its institutions. The use of data in education systems and the procedures by which the data are constructed has not been a major part of the study of education, nor of the histories of education systems. This volume of contributions, drawn from different times and spaces in education, will be a useful contribution to comparative historical studies.

A pioneering socio-historical analysis of change and development in secondary education in England, France, and Germany during the late nineteenth and early twentieth centuries.

Britain was the last major European state to create a national education system and is set to be the first to dismantle it. In this wide-ranging comparative study, Andy Green examines the reasons for the uneven development of public education in England, Prussia, France and the USA.

This book examines, from a comparative perspective, the impact of the movement from the so-called knowledge-based economy towards the Intelligent Economy, which is premised upon the application of knowledge. This volume links the advent of this new technological revolution to the world of governance and policy formulation in education.

This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.

This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Two remarkable trends concerning women’s educational and labor market outcomes in modern Western societies can be observed. Firstly, in recent decades, women have been catching up with, and have even overtaken, men in educational attainment. Secondly, women continue to choose educations and occupations in Science, Technology, Engineering, and Mathematics (STEM) less often than men. This Research Topic will focus upon these gender-specific trends, with a view to analyzing (some of) their causes and consequences.