California has long been a national and global leader in developing and maintaining quality higher education options, as well as in providing financial aid and consumer protections for Californians who access that education. However, although California's colleges and the state government do collect, receive, and report a great deal of data, these…

This report focuses on a critical concern for the European Training Foundation's (ETF's) partner countries and other countries of the around the world. Skills mismatch is recognised as a major challenge by policy makers, practitioners and social partners, as it is often associated with dynamic social and economic contexts such as restructuring…

This report aims to provide insight into the realities faced by higher education academic staff at a time of fast-moving change and increasing societal demand. Fluctuating student numbers, new funding and steering mechanisms are among the features of today's European higher education landscape, but not enough is known about how academic staff are…

Understanding how scientific conclusions are drawn from data is central to learning about the nature of science. Many students struggle with aspects of reasoning from data, including identifying relationships among variables, interpreting graphs, coordinating theory and evidence, and not allowing personal beliefs to outweigh the data when forming…

While learning analytics (LA) practices have been shown to be practical and effective, most of them require a huge amount of data and effort. This paper reports a case study which demonstrates the feasibility of practising LA at a low cost for instructors to identify at-risk students in an undergraduate business quantitative methods course.…

Extensive research in learning science has established the importance of time management in online learning. Recently, learning analytics (LA) has shed further lights on the temporal characteristics of learning by allowing researchers to capture authentic digital footprints of student learning behaviours. Nonetheless, students' timing of…

The Trends in International Mathematics and Science Study (TIMSS) is an international comparative study designed to measure trends in mathematics and science achievement at the fourth and eighth grades, as well as to collect information about educational contexts (such as students' schools, teachers, and homes) that may be related to student…

This publication highlights how state leaders tackle data interoperability with the emergence of data standards for student information, assessment, digital content, and other educational applications. While states are at various maturity levels for interoperability, each state shares goals for interoperability, the drivers for those goals,…

Conducting research can present a range of challenges for students because of the complex skills and knowledge required to have critical engagement with the entire research process. This paper looks at what was involved in shaping the research journey that I am currently undertaking at a Higher Education Institution (HEI). The focus is on research…

Institutions of higher education are operating in an increasingly complex and competitive environment. This paper identifies contemporary challenges facing institutions of higher education worldwide and explores the potential of Big Data in addressing these challenges. The paper then outlines a number of opportunities and challenges associated…

Increasing numbers of states have incorporated measures of students' academic growth into their data and accountability policies. Measuring growth is a statistically complicated task and complex growth measures can be easy to misinterpret. This paper reports on a survey of 317 Massachusetts principals' understanding of the Student Growth…

In the last few years, open textbook development has picked up dramatically due both to the expense of commercially published textbooks and the increasing availability of high-quality OER alternatives. While this offers a tremendous benefit in terms of lowering student textbook costs, the question remains, to what extent (if any) do open textbooks…

This paper aims to illustrate how data visualization could be utilized to identify errors prior to modeling, using an example with multi-dimensional item response theory (MIRT). MIRT combines item response theory and factor analysis to identify a psychometric model that investigates two or more latent traits. While it may seem convenient to…

Learning analytics is an emerging field in which sophisticated analytic tools are used to inform and improve learning and teaching. Researchers within a regional university in Australia identified an association between interaction and student success in online courses and subsequently developed a learning analytics system aimed at informing…

Even before Florence Nightingale diagrammed soldiers' changing mortality rates to save lives, we have seen clever design used to convey statistics and other complex concepts. In the field of education, student data is used extensively, and those who share such data need to ensure this communication is effective. This article is based on education…