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Alex J. Bowers – Grantee Submission, 2021
Educators globally are continually encouraged to use data to inform instructional improvement in schools, yet while there have been many recent innovations in data visualization and data science, educators are rarely included in dashboard co-design. On December 5 and 6, 2019, the Education Data Analytics Collaborative Workshop was held at Teachers…
Descriptors: Visual Aids, Evidence Based Practice, Data Use, Decision Making
Haywoode, Alyssa – Phi Delta Kappan, 2018
Community schools have a long history of helping students succeed in school by addressing the problems they face outside of school. But without specific data on students and the full range of their needs, community schools cannot be as effective as they would like to be. Driven by the desire to make more data-informed decisions, the Children's Aid…
Descriptors: Community Schools, Data, Decision Making, Partnerships in Education
Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
Frank, Stephen; Trawick-Smith, Joseph – Education Resource Strategies, 2014
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…
Descriptors: State Agencies, School Districts, Elementary Secondary Education, Resource Allocation
Seager, Andrew; Madura, John P.; Cox, Joshua; Carey, Rebecca – Regional Educational Laboratory Northeast & Islands, 2015
This descriptive study of a change initiative by the Syracuse (NY) City School District informs the question, "How do school boards and districts better use research and data to inform policy decisions?" Researchers used interviews and artifacts to describe how the district developed and implemented a new discipline policy, the Syracuse…
Descriptors: School Districts, Boards of Education, Data Analysis, Information Utilization
Fairchild, Susan; Farrell, Timothy; Gunton, Brad; Mackinnon, Anne; McNamara, Christina; Trachtman, Roberta – New Visions for Public Schools, 2014
Data-driven approaches to school decision making have come into widespread use in the past decade, nationally and in New York City. New Visions has been at the forefront of those developments: in New Visions schools, teacher teams and school teams regularly examine student performance data to understand patterns and drive classroom- and…
Descriptors: Data Analysis, Decision Making, Academic Achievement, Teamwork
Parrett, William; Budge, Kathleen – Educational Leadership, 2009
Six high-performing/high-poverty schools provide insights into what it takes to make a dramatic turnaround. School leaders had to make tough calls--and many of those decisions were about how to use resources. The budget in a high-performing, high-poverty school is a moral document, reflective of the school's beliefs about the conditions necessary…
Descriptors: Poverty, Leadership, Educational Change, Budgeting
LaPointe, Michelle A.; Brett, Jessica; Kagle, Melissa; Midouhas, Emily; Sanchez, Maria Teresa – Regional Educational Laboratory Northeast & Islands, 2009
The report examines the initiatives of state education agencies in the Northeast and Islands Region (Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, Vermont, and the Virgin Islands) to support data-driven decisionmaking in districts and schools and describes the service providers hired to support this work. Four…
Descriptors: State Departments of Education, Data, Decision Making, Centralization
Jessen, Sarah Butler – Educational Policy, 2013
This article begins to unpack the complex effects of the policies of both the small schools and choice on students with special needs. Drawing on qualitative data collected throughout the 2008-2009 academic year and a range of quantitative data from New York City's public high schools, the author shows that while small schools and choice are…
Descriptors: School Choice, Special Education, Urban Schools, Public Schools
LaPointe, Michelle A.; Brett, Jessica; Kagle, Melissa; Midouhas, Emily; Sanchez, Maria Teresa – Regional Educational Laboratory Northeast & Islands, 2009
The report examines the initiatives of state education agencies in the Northeast and Islands Region to support data-driven decisionmaking in districts and schools and describes the service providers hired to support this work. Four components of data-driven decisionmaking initiatives are identified: (1) Centralized data system/warehouse; (2) Tools…
Descriptors: State Departments of Education, Data, Decision Making, Centralization
Briggs, Linda L. – Campus Technology, 2006
Having an abundance of data residing in individual silos across campus, but little decision-ready information, is a typical scenario at many institutions. One problem is that the terms "data warehousing" and "business intelligence" refer to very different things, although the two often go hand-in-hand. "Data…
Descriptors: Information Technology, Internet, Colleges, Data Analysis
Gonder, Jennifer, Ed.; Howell-Carter, Marya, Ed.; Anderson, Jessica, Ed. – Online Submission, 2013
Included herein is the conference proceedings of the 27th Annual Conference on the Teaching of Psychology: Ideas and Innovations, sponsored by the Psychology Department of the State University of New York at Farmingdale. The conference theme for 2013 was: The Science of Learning. The Conference featured a keynote address by Victor Benassi, Ph.D.…
Descriptors: Psychology, College Instruction, Conferences (Gatherings), Undergraduate Students
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
Guarino, Cassandra M.; Brewer, Dominic J.; Hove, Anders W. – 2000
Data from the Schools and Staffing Survey, and from New York and Texas, were analyzed in 1999 to identify prevailing trends in the vocational education (VE) teacher labor market. The data, all secondary sources, were analyzed by using a set of indicators for detecting shortage or surplus conditions, and a set of guidelines for developing…
Descriptors: Age Differences, Comparative Analysis, Data Analysis, Databases