In today's data-driven and data-informed educational landscape, leaders face increasing pressure to make decisions and present results based on what appear to be comprehensive statistical analyses. However, the ethical implications of these responsibilities can be complex, particularly when statistical results carry the potential to be…

This Assessment News article introduces readers to a statistical approach to making sense of student assessment data in order to help teachers understand whether or not changes in practice have made a difference to learning. It Worked! is the brainchild of Darcy Fawcett, HoD Science at Gisborne Boys' High School, and Across-School Teacher for the…

Action research is a cyclical research process that may be used to improve instructional practice, assessment tools, and student outcomes. Action research always focuses on local problems and takes place in the natural setting of a classroom, laboratory, or school. Unlike traditional research, action researchers are primarily "committed to…

This chapter describes an open learning analytics system focused on learning process measures and designed to engage instructors and students in an evidence-informed decision-making process to improve learning.

In this digital ITEMS module, Nikole Gregg and Dr. Brian Leventhal discuss strategies to ensure data visualizations achieve graphical excellence. Data visualizations are commonly used by measurement professionals to communicate results to examinees, the public, educators, and other stakeholders. To do so effectively, it is important that these…

Education Leadership Data Analytics (ELDA) is an emerging domain that is centered at the intersection of education leadership, the use of evidence-based improvement cycles in schools to promote instructional improvement, and education data science. ELDA practitioners work collaboratively with school and district leaders and teachers to analyze,…

Americans share an expectation that government will serve the common good, creating inescapable pressure for public agencies--especially those that serve young children--to perform well. Yet education and human services agencies continually struggle to respond to the complex conditions in which children are born. How can they address the practical…

This chapter provides an example of how one university's institutional research office played an active role in using data from institutional studies to guide the university toward courses ripe for change, faculty toward successful teaching strategies, students toward successful learning behaviors, and the university toward assessing the impact of…

Reviews of research in special education have a unique place in the scientific literature, with the potential to inform a broad audience about the effectiveness and acceptability of assessment and intervention strategies for a heterogeneous group of children and youth. Results from reviews are useful to school leaders, practitioners, parents,…

Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…

The value of the National Association for Developmental Education (NADE) accreditation process is far-reaching. Not only do students and programs benefit from the process, but also the entire institution. Through data collection of student performance, analysis, and resulting action plans, faculty and administrators can work cohesively towards…

Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff and the general public. State coordinating and governing boards use these data systems for…

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…

This chapter details the process the University of Michigan developed to build institutional capacity for learning analytics. A symposium series, faculty task force, fellows program, research grants, and other initiatives are discussed, with lessons learned for future efforts and how other institutions might adapt such efforts to spur cultural…

There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…