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Siman, Nina; Goldenberg, Shifra M.; Gold, Thomas – Research Alliance for New York City Schools, 2014
A major focus of the booming education technology sector is on products that aim to help teachers improve classroom practice. For their part, districts must figure out which of these resources will be most useful to schools. In New York City, the Department of Education developed its own Achievement Reporting and Innovation System (ARIS), which…
Descriptors: Educational Technology, Technology Uses in Education, Information Systems, Urban Schools
DeAngelo, Salvatore, Jr. – ProQuest LLC, 2013
The intention of this qualitative study was to explore the effects that instructional data systems have on a building level leader's capacity to evaluate student growth and inform principal practice. Principal leadership practices were examined through the lens of Kouzes and Postners' five practices of exemplary leadership (Kouzes & Posner,…
Descriptors: Capacity Building, Federal Aid, Federal Legislation, Qualitative Research
Regional Educational Laboratory Southeast, 2010
Longitudinal Data Systems (LDS) house student data spanning multiple years and schools. First and foremost among LDS information resources is the Data Quality Campaign (DQC). The DQC is a nationwide consortium assembled to support states, districts, and schools as they design and implement data systems to improve student outcomes. The research and…
Descriptors: Information Management, Evidence, Longitudinal Studies, Consortia
Tucker, Bill – Education Sector, 2010
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…
Descriptors: Evidence, Educational Objectives, Outcomes of Education, Educational Change
Schaffhauser, Dian – Campus Technology, 2009
Using data to track and manage student enrollment is steadily becoming a standard practice on both two-year and four-year campuses. Data mining enables colleges to create predictive models for identifying behaviors that put students at risk for dropping out, flag students who engage in these behaviors, and help identify practices that work in…
Descriptors: Community Colleges, Educational Strategies, Academic Support Services, Attendance Patterns
Purves, Ralph A.; Glenny, Lyman A. – 1976
The extent to which state agencies are implementing information systems and analytical methods for budget review are examined. Focus is on 17 states: California, Colorado, Connecticut, Florida, Hawaii, Illinois, Kansas, Michigan, Mississippi, Nebraska, New York, Pennsylvania, Tennessee, Texas, Virginia, Washington, and Wisconsin. Trends in budget…
Descriptors: Budgeting, Data Analysis, Educational Finance, Educational Planning
Light, Daniel; Wexler, Dara H.; Heinze, Juliette – Education Development Center, Inc., 2004
The Education Development Center's Center for Children and Technology (CCT) conducted a three year study of a large-scale data reporting system, developed by the Grow Network for New York City's Department of Education. This paper presents a framework based on two years of research exploring the intersection of decision-support technologies,…
Descriptors: Prior Learning, Urban Schools, Management Information Systems, Educational Technology
New York State Education Dept., Albany. Bureau of School Programs Evaluation. – 1973
The Performance Indicators in Education program is intended to provide measures of the impact school districts have on the achievement of their pupils. After an extensive period of development by the Bureau of School Programs Evaluation of the New York State Education Department, reports were prepared for 628 school districts in New York State.…
Descriptors: Academic Achievement, Administrator Attitudes, Data Analysis, Data Collection