This conceptual model introduces a process to help school counselors use data to drive decision making and offers examples to implement the process. A step-by-step process is offered to help school counselors and school counselor supervisors address educational issues, close achievement gaps, and demonstrate program effectiveness. To illustrate…

Many school district strategic plans and education conferences are aggressively embracing technology to improve teaching and learning. Classroom technology typically includes blended learning, personalized learning, online courses for students, and professional development for teachers, among many other things. As districts wrestle with tighter…

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…

This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…

Professional development within many school districts has become more closely linked to school or district achievement goals, daily practice and student assessment data. Both empirical research and experiential-based writing in the field have suggested that data-driven job-embedded professional development supports teacher learning and improved…

The current situation in U.S. K-12 education is such that there is no clarity, consistency, or consensus in the manner in which schools go about implementing a data-driven decision-making process. Simply stated, there is no clearly articulated direction provided to school systems regarding policies and procedures for data analysis. School systems…

A key lever for improvement in instruction and student support is the data that are available in urban districts. A considerable amount of information now exists about students' academic strengths and weaknesses, and the momentum to build and improve data systems is increasing at a rapid pace. In fall 2008, the Council of the Great City Schools…

Purpose: Linking Open Data (LOD) provides a vast amount of well structured semantic information, but many inconsistencies may occur, especially if the data are generated with the help of automated methods. Data cleansing approaches enable detection of inconsistencies and overhauling of affected data sets, but they are difficult to apply…

Multimedia educational resources play an important role in education, particularly for distance learning environments. With the rapid growth of the multimedia web, large numbers of educational video resources are increasingly being created by several different organizations. It is crucial to explore, share, reuse, and link these educational…

The purpose of this mixed methods phenomenological study was to explore the data-driven instructional decisions that elementary teachers make in literacy. Educators have moved towards a culture of being data-driven, and have declared data use in schools to be significant to school improvement and accountability (Marsh, Pane, & Hamilton, 2006).…

Principals are expected to use data to develop a clear vision, stimulate meaningful dialogue among stakeholders, create interventions for struggling students, and improve school programs. The purpose of this three-phase, sequential, mixed-methods study was to examine how principals use summative and formative assessment data to improve academic…

The authors describe the University of Central Florida's top-down/bottom-up action analytics approach to using data to inform decision-making at the University of Central Florida. The top-down approach utilizes information about programs, modalities, and college implementation of Web initiatives. The bottom-up approach continuously monitors…

Over the past decade, school districts and states have made impressive advances in collecting and managing data used for accountability purposes. By the year 2011, all 50 states will have systems to track students from year to year. But in most states and districts, all the data generated by these systems flows only one way: up. This paper…

As public and private funders have focused on evaluating the effectiveness of workforce development programs, a myriad of data collection systems and reporting processes have taken shape. Navigating these systems takes significant time and energy and often saps frontline providers' capacity to use data internally for program improvement.…

Although the Angoff procedure is among the most widely used standard setting procedures for tests comprising multiple-choice items, research has shown that subject matter experts have considerable difficulty accurately making the required judgments in the absence of examinee performance data. Some authors have viewed the need to provide…