A gap in practice at CES Elementary School (pseudonym) was the lack of data driven instructional decision making that contributed to the problem of low school scores on the State of Texas Assessments of Academic Readiness (STAAR). Low STAAR scores have negatively impacted student, teacher, and administrator retention. Unsuccessfully, data chats…

Background: College-completion policies dominate state higher education policy agendas. Yet we know little about how policy actors make decisions--and what sources of evidence they use--within this policy domain. Focus of Study: This study explores the use of evidence in college-completion policymaking in depth, focusing on Texas. In addition to…

Policymakers and professional educators attempt to be good stewards of public funds while simultaneously raising expectations for student outcomes that reflect academic excellence in the public school system. The purpose of this study was to determine the efficiency of Texas public school districts and the factors influencing the inefficiency of…

Purpose: The purpose of this paper is to examine how Robbins ES has sustained high academic performance over almost 20 years despite several changes in principals. Design/methodology/approach: The paper analyzed longitudinal data based on: state-level academic and demographic data; two earlier studies of the school; and recent interviews with…

K-12 education resources are often allocated non-strategically, with schools spending time and money on activities that have little relationship to student outcomes. Most of these decisions take place within districts, rooted in the processes of setting schedules, staffing levels, and assignments, and creating final budgets. Local Education…

The Data Quality Campaign (DQC) has been focused since 2005 on advocating for states to build robust state longitudinal data systems (SLDS). While states have made great progress in their data infrastructure, and should continue to emphasize this work, data systems alone will not improve outcomes. It is time for both DQC and states to focus on…

It's not exactly a well-kept secret: Despite the drumbeat for data that has echoed through the jungles of education for over a decade, its nuanced use to make decisions for students is rare. And even though state and national longitudinal data initiatives from the US Department of Education (ED) have increased the pressure, relatively few schools…

Experience in problem-based learning, authentic experiences, on-the-job decision making, and critical reflection on decisions made formed the conceptual framework of an internship to develop democratic leadership as a professional ethic in interns. Interns in an on-the-job guided internship examined decisions over a 13-week period as they…

This study examined the impact of principals' data-driven decision-making practices on student achievement using the theoretical frame of Dervin's sense-making theory. This study is a quantitative cross-sectional research design where principals' perceptions about data were quantitatively captured at a single point in time. The participants for…

The HOPE Foundation (HOPE) commissioned the American Institutes for Research (AIR) to conduct an exploratory study of the implementation and impact of the Courageous Leadership Academy (CLA). In this report, the authors introduce the school reform model, describe the study methodology, present findings for each of the three research questions…

"Building Institutional Capacity for Data-Informed Decision Making" is the third installment of the Cutting Edge series, which aims to help colleges engage faculty, scale successful interventions, and create a strong culture of evidence through use of data to strengthen their institutional change and student success efforts. Though the…

The professional teaching and learning cycle (PTLC) is a professional development process in which teachers collaboratively plan and implement lessons aligned to their state standards. This process is an important part of the Working Systemically approach, designed by SEDL to improve a school system's capacity to increase student achievement.…

As student data analysis reports become more sophisticated, these reports reveal greater details on low performance skills. Availability of models and programs depicting detailed instructions or guidance for utilizing data to impact classroom instruction, in an effort to increase student achievement, has been lacking. This study examines the…

Now that all 50 states and the District of Columbia are building statewide longitudinal data systems, the next step is to ensure that the information in these systems is used to improve student learning. The Data Quality Campaign (DQC) has identified 10 actions that states can take to ensure that the right data are available and accessible and…

In responding to internal and external pressures for accountability in higher education, especially in the areas of improved learning outcomes and student success, IT leaders may soon become critical partners with academic and student affairs. IT can help answer this call for accountability through "academic analytics," which is emerging…