Using data to inform decision-making in the educational environment has increased over the last decade due to accountability requirements at the federal, state, and local level (Bernhardt, 2013; Datnow & Hubbard, 2016; Garland, 2014; Mandinach & Gummer, 2016; McKay, 2018; Wayman, 2005). While research supported the inclusion of data in…

These are the appendixes for the report, "Strengthening the Pennsylvania School Climate Survey to Inform School Decisionmaking." This study analyzed Pennsylvania School Climate Survey data from students and staff in the 2021/22 school year to assess the validity and reliability of the elementary school student version of the survey;…

This study examines administrator perceptions of Pennsylvania's state assessment data. This study had three main purposes. The first purpose was to investigate the value and utility of state assessment data to inform decision making and the possibility of improving student achievement through the routine use of state assessment data. The second…

Data-driven decision making, popularized in the 1980s and 1990s, is evolving into a vastly more sophisticated concept known as big data that relies on software approaches generally referred to as analytics. Big data and analytics for instructional applications are in their infancy and will take a few years to mature, although their presence is…

Response to Intervention, or RTI, is a framework for using data to establish the nature and degree of the help a student needs, and then applying strategies targeting those areas. It is a carefully drawn, systematic form of data-driven decision-making that establishes multiple stages of interventions for varying degrees of problems. Though some…

The purpose of this project was to explore the decision-making approach and types of data that school psychologists use in determining special education classification. There were three research objectives: (a) to investigate the types of conditions and measures needed to test the use of the representativeness heuristic and assessment data, (b) to…

School districts across the country have adopted interim and benchmark assessments in response to NCLB pressures to raise student achievement, despite the lack of a research base. Thus, it is especially important that well-conceived, empirical studies of the effects of such programs be carried out. Various theoretical frames can help understand…

Communities face powerful challenges--a high-school dropout epidemic, youth unemployment, teen pregnancy--that require powerful solutions. In a climate of increasingly constrained resources, those solutions must help communities to achieve more with less. A new kind of community collaborative--an approach that aspires to significant,…

A few years ago, the University of Pennsylvania's Division of Human Resources began a data-based approach to the development of strategic plans and the measurement of programmatic effectiveness. One of its more successful endeavors in this area has been the creation of an HR scorecard that compares and contrasts individual school or administrative…

"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…

As part of a multiyear research study on the preparation of educators to use assessment data for instructional improvement, the present study is a pilot test of a research-based professional development intervention for career-technical teachers. Forty-eight educators at nine sites in five states participated in a 1-day workshop followed by…

"Leading indicators"--indicators that provide early signals of progress toward academic achievement--enable education leaders, especially at the central office level in a school district, to make more strategic and less reactive decisions about services and supports to improve student learning. These indicators are a way of viewing and…

Data-driven decision making (DDDM), applied to student achievement testing data, is a central focus of many school and district reform efforts, in part because of federal and state test-based accountability policies. This paper uses RAND research to show how schools and districts are analyzing achievement test results and other types of data to…

Systemic efforts to implement data-based decision making at the school and classroom level face several challenges. First, most data available within district information systems are limited to what has been deemed important for the operational needs of schools and the district. Second, educational organizations have little experience integrating…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…