This volume centres the notion of "chance" in education as a key concept in contemporary education -- relating to aspects like accountability, datafication, or international large-scale assessments -- and discusses the impact that the historical desire to "tame" this notion has had on present-day educational policy and…

With the 5th Edition of Data Analysis for Continuous School Improvement, best-selling Victoria Bernhardt has written the go-to-resource for data analysis in your school! By incorporating collaborative structures to implement, monitor, and evaluate the vision and continuous improvement plan, this book provides a framework to show learning…

This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…

This book addresses governing by numbers and human capital policy in higher education by asking how higher education is quantified, how the quantitative information is used in educational governance, and how the information is perceived by students, teachers, managers, and policymakers, and affects decision-making. It also thematically discusses…

This book presents a challenging and multi-faceted research project that required state-of-the-art methodological approaches. The project involved analyzing data collected from 10,000 research articles published in ten leading journals in the area of educational technology over 20 years, from January 1994 to December 2014; advanced analytic…

This book examines the idea of educational accountability in higher education, which has become a new secular gospel. But do accountability policies actually make colleges better? What if educational accountability tools don't actually measure what they're supposed to? What if accountability data isn't valid, or worse, what if it's meaningless?…

This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques,…

Educational analytics tend toward aggregation, asking what a "normative" learner does. In "The Left Hand of Data," educational researchers Matthew Berland and Antero Garcia start from a different assumption--that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should…

The OECD Future of Education and Skills 2030 report on mathematics curriculum presents first-of-its-kind comparative data on how countries are adapting curricula to meet the demands of the 21st century. The project's unique data illustrate a 25-year evolution of mathematics curricula in various countries, looking at content coverage and the…

This book systematically approaches the topic of the relatively new field of digital pedagogy and provides valuable insights for teachers and students, education policymakers, leaders in education, and others whose professional engagement is related to education in modern society. It discusses topics including what digital pedagogy involves as…

Drawing from campus-based research projects sponsored by the AAC&U and the Center for Urban Education at the University of Southern California, "From Equity Talk to Equity Walk" provides practical guidance on the design and application of campus change strategies for achieving equitable outcomes. The authors offer advice on how to…

All research accounts are partial. Who we are--our biographies, experiences, ideological stances, and so on--affects the entirety of the research process. Who we are shapes what types of research questions we find interesting, how we frame our research objectives, how we collect data, how we analyze these data, and how we present our findings. In…

This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…

The costs of persistent misalignment between the supply and demand for skills are substantial, ranging from lost wages for workers to lower productivity for firms and countries. Addressing skills imbalances has become a pressing priority as OECD governments reflect on the implications of technological progress, digitalisation, demographic change…

The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at…