Because learning from failures is just as important as learning from successes, we used qualitative case study data gathered in the Netherlands and the United States to examine instances in which data teams struggle to contribute to school improvement. Similar factors in both the Dutch and U.S. case hindered the work of the data teams, such as…

The Canadian Association of University Teachers (CAUT) is the national voice for academic and professional staff. CAUT represents more than 72,000 teachers, librarians, researchers, general staff, and other academic professionals at 125 post-secondary institutions across the country. CAUT works actively in the public interest to improve the…

The purpose of this article is to advocate for an expansion of third-space ideology to the research conducted in clinical teacher preparation programs including research designs and methods of data collection. Clinical teacher preparation has been advocated since the 1980s and is now being systematically realized in the early 21st century. Thus,…

Learning Analytics (LA) is an emerging field in which sophisticated analytic tools are used to improve learning and education. It draws from, and is closely tied to, a series of other fields of study like business intelligence, web analytics, academic analytics, educational data mining, and action analytics. The main objective of this research…

Background: Data-based decision-making in education often focuses on the use of summative assessment data in order to bring about improvements in student achievement. However, many other sources of evidence are available across a wide range of indicators. There is potential for school leaders, teachers and students to use these diverse sources…

School-based evaluations of interventions are increasingly common in education research. Ideally, the results of these evaluations are used to make evidence-based policy decisions for students. However, it is difficult to make generalizations from these evaluations because the types of schools included in the studies are typically not selected…

To identify the ways teachers and educational systems can improve learning, researchers need to make causal inferences. Analyses of existing datasets play an important role in detecting causal patterns, but conducting experiments also plays an indispensable role in this research. In this article, we advocate for experiments to be embedded in real…

The UChicago Consortium, Network for College Success, and the To&Through Project's new paper, "Practice-Driven Data: Lessons from Chicago's Approach to Research, Data, and Practice in Education," shares key lessons learned from Chicago's approach to using data to foster ongoing improvement in students' educational attainment. This…

Researcher-practitioner partnerships have gained increasing prominence within education in recent years, yet scholarship on partnerships and tools to guide partnerships' work remain in their infancy. Drawing on our own work in a partnership as well as analysis of abstracts for the 41 partnerships funded by the Institute of Education Sciences and…

There is a vast amount of research on what goes on in schools, but how can school leaders sort credible findings from dubious claims and use these to make informed decisions that benefit their schools? How can abstract ideas from research be translated into dynamic plans for action? This book is a practical guide to evidence-based school…

This study aims to carry out a content analysis determining the general framework of studies related to curriculum. For this purpose, 154 curriculum-related studies carried out in Turkey between 2000 and 2014 were examined in terms of year, sample, method, data collection technique, purpose, and result. The most studies related to curriculum were…

Early warning systems combine multiple data points, translate them into predictive indicators that are based on research, and proactively communicate them to stakeholders, so they can examine which students are or are not on track for postsecondary success and intervene accordingly. Early warning reports provide the student-level information…

IES is the primary research, evaluation, and statistics arm of the U.S. Department of Education. Established through the Education Sciences Reform Act of 2002 (ESRA), the Institute's mission is to expand fundamental knowledge and understanding of education and to provide education leaders and practitioners, parents and students, researchers, and…

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…

Schools and school districts are data-rich environments, with heaps of data on student demographics, achievement, outcomes, and perceptions. With so much data available, it can be easy to get caught up in the sheer enormity of the data sets. A cohesive data analysis and decision-making process can help schools, districts, and additional…