Since the passage of No Child Left Behind, data-driven decision making has become one of the central foci in schools in their attempt to attain and maintain adequate levels of student academic performance. The importance of early childhood education is well established with language and literacy proficiency in the early years being viewed as a…

The gap that separates so many workers from the prospect of good-paying, stable jobs demands urgent action by states--even as the unrelenting fast pace of economic change makes a sound response all the more difficult and as the "rules of the game" continue to evolve. This is especially true in the Science, Technology, Engineering and…

The gap that separates so many workers from the prospect of good-paying, stable jobs demands urgent action by states--even as the unrelenting fast pace of economic change makes a sound response all the more difficult and as the "rules of the game" continue to evolve. This is especially true in the Science, Technology, Engineering and…

The purpose of this document is to summarize evidence-based, positive, proactive, and responsive classroom behavior intervention and support strategies for teachers. These strategies should be used classroom-wide, intensified for support small-group instruction, or amplified further for individual students. These strategies can help teachers…

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…

One of the most difficult tasks that classroom teachers face is finding ways to reach all their students and match each student's level of mathematical readiness and performance to the skills they are required to teach. In classrooms and schools, current federal and state requirements have increased the emphasis on accountability for improved…

Student learning and development are a function of both individual and systemic factors. Individual factors include students' motivation as well as their intellectual and social abilities. Systemic factors include teacher quality, administrative leadership, community engagement, and learning environments. The increasing numbers of children living…

This article describes the process and role frontline access and public service staff play in needs assessment and evaluation of user services, specifically in understanding the voice of the customer. Information includes how the University of Arizona Libraries have incorporated daily data collection into the strategic planning process, resources…

Intelligence gathering, or data collection, is a preliminary and critical stage of decision making. Two key approaches to intelligence gathering are "discovery" and "idea imposition." The discovery approach allows us to learn about possibilities by gathering intelligence in order to identify and weigh options. The idea imposition approach limits…

Research and policy have established that data are necessary to guide decisions within education. Many of these decisions are made within problem solving and response to intervention frameworks for service delivery. Curriculum-Based Measurement in Reading (CBM-R) is a widely used data collection procedure within those models of service delivery.…

Legal mandates and best practice recommendations for the education of students with autism spectrum disorders (ASD) emphasize the importance of systematic, ongoing observational data collection in order to monitor progress and demonstrate accountability. The absence of such documentation in decision-making on instructional objectives indicates a…

The Technical Assistance Center on Social Emotional Intervention for Young Children (TACSEI) Roadmap on "Data Decision-Making and Program-Wide Implementation of the Pyramid Model" provides programs with guidance on how to collect and use data to ensure the implementation of the Pyramid Model with fidelity and decision-making that…

The purpose of this problem-based study was to gather data which analyzed the degree of fidelity of implementation of Response to Intervention as reported by building principals in the State of Missouri. The project began when team members, providing professional development for the Response to Intervention process, came to the conclusion there…

We describe a targeted professional development (PD) intervention designed to improve the quality of individualized family service plans (IFSPs) and to support IFSP planning, development, and decision making. The theoretical and empirical foundations for the PD intervention and its key components are reviewed. Building on an established online…

Students wanting to succeed in higher education are required to adopt an adequate learning approach. By analyzing individual learning characteristics, teachers can give personal advice to help students identify their learning success factors. An expert system based on fuzzy logic can provide economically viable solutions to help students identify…