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Rowan, Anna Habash; Hall, Daria; Haycock, Kati – Education Trust, 2010
Leaders in schools, districts, and states, along with policymakers in Washington, D.C., are focusing new energy on closing long-standing gaps in performance that separate low-income students and students of color from others. It's critically important that their efforts succeed--for students, their families, their communities, and for their…
Descriptors: Elementary Secondary Education, Academic Achievement, National Competency Tests, True Scores
Sarangapani, Padma M.; Winch, Christopher – Oxford Review of Education, 2010
Tooley, Dixon and Gomathi maintain that private unrecognised unaided schools in Hyderabad, India, catering for children of the poor, provide a better level of education than do their government counterparts. We examine this contention and argue first that Tooley et al.'s conceptualisation of education and its benefits is flawed and second that the…
Descriptors: Private Education, Foreign Countries, Educational Finance, Educational Assessment
Conger, Dylan – Education and Urban Society, 2010
This article offers new directions in measuring racial isolation in schools. The most widely used measurement approach is to examine the mean on the distribution of school percentage non-White across non-White students (the isolation rate) or the percentage of non-White students in schools with large shares of non-Whites (e.g., 90% or more) at a…
Descriptors: Measurement Techniques, Evaluation Methods, Social Isolation, Disproportionate Representation
You Don't Have to Be a Statistician to Use Data: A Process for Data-Based Decision Making in Schools
Flowers, Nancy; Carpenter, Dawn M. H. – Phi Delta Kappan, 2009
Too many educators avoid using data when making decisions because they believe it is too time-consuming to do so. The authors present five steps that make it easier to use data in making school decisions. The first step is to review school improvement plan to identify the most salient issues a school wants to improve. The second step is to…
Descriptors: Educational Improvement, Data Interpretation, Use Studies, Decision Making Skills
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
MacIver, Martha Abele; Groginsky, Scott – Phi Delta Kappan, 2011
The Colorado Graduates Initiative demonstrates seven factors that must be present to build an effective statewide collaborative effort to increase high school graduation rates. These include: 1) Leadership to unite diverse stakeholders on specific, common goals and catalyze them into action; 2) A focus on data, particularly on actionable, early…
Descriptors: High School Seniors, Graduation, Graduation Rate, Dropouts
Shaughnessy, Michael – National Council of Teachers of Mathematics, 2008
Until recently, much of the research on students' understanding of statistical ideas has focused on their conceptions of center or on what constitutes a good sample. In the past decade research on students' statistical thinking has broadened and increasing interest has been paid to how students think about variability in data or variability in…
Descriptors: Statistics, Statistical Data, Data Interpretation, Sampling
Borden, Victor M. H. – Diverse: Issues in Higher Education, 2008
This article presents "Diverse Online's" annual analysis of the Top 100 degrees conferred to African-American students. The tables in this edition of the Top 100 analysis reflect degrees conferred during the 2006-2007 academic year as of mid March 2008 by the vast majority of U.S. postsecondary institutions to the Department of Education's…
Descriptors: Educational Trends, Higher Education, African American Students, College Students
Seifert, Tricia A.; Goodman, Kathleen; King, Patricia M.; Baxter Magolda, Marcia B. – Journal of Mixed Methods Research, 2010
This study details the collection, analysis, and interpretation of data from a national multi-institutional longitudinal mixed methods study of college impact and student development of liberal arts outcomes. The authors found three sets of practices in the quantitative data that corroborated with the themes that emerged from the qualitative data:…
Descriptors: Student Development, Liberal Arts, Content Analysis, Data Interpretation
Bugg, Elmer A., Jr. – ProQuest LLC, 2009
This qualitative study elicited key themes in an attempt to understand the nature and essence of the career advancement experiences of a select group of African American male community college presidents. Research was conducted through a "culturally sensitive" research design (Tillman, 2002) that contained four elements: "culturally congruent…
Descriptors: Research Needs, African American Community, Research Design, Community Colleges
Parette, Howard P.; Blum, Craig; Boeckmann, Nichole M. – Early Childhood Education Journal, 2009
As assistive technology applications are increasingly implemented in early childhood settings for children who are at risk or who have disabilities, it is critical that teachers utilize observational approaches to determine whether targeted assistive technology-supported interventions make a difference in children's learning. One structured…
Descriptors: Early Childhood Education, Children, Educational Technology, Assistive Technology
Aultman, Lori Price – Qualitative Inquiry, 2009
The purpose of this article is to illuminate one researcher's experience in working with poetic representation while researching participants' perspectives of the transition from high school to college. Two integral points are discussed: (1) making the choice of using alternative representation--letting the data speak, and (2) the flow experience…
Descriptors: Educational Research, Researchers, Student Participation, Self Evaluation (Individuals)
Cognitive Biases in the Interpretation of Autonomic Arousal: A Test of the Construal Bias Hypothesis
Ciani, Keith D.; Easter, Matthew A.; Summers, Jessica J.; Posada, Maria L. – Contemporary Educational Psychology, 2009
According to Bandura's construal bias hypothesis, derived from social cognitive theory, persons with the same heightened state of autonomic arousal may experience either pleasant or deleterious emotions depending on the strength of perceived self-efficacy. The current study tested this hypothesis by proposing that college students' preexisting…
Descriptors: Research Universities, Self Efficacy, Interpersonal Relationship, Epistemology
Hart, Ray; Casserly, Michael; Uzzell, Renata; Palacios, Moses; Corcoran, Amanda; Spurgeon, Liz – Council of the Great City Schools, 2015
There has been little data collected on how much testing actually goes on in America's schools and how the results are used. So in the Spring of 2014, the Council staff developed and launched a survey of assessment practices. This report presents the findings from that survey and subsequent Council analysis and review of the data. It also offers…
Descriptors: Urban Schools, Student Evaluation, Testing Programs, Testing
Undergraduate Non-Science Majors' Descriptions and Interpretations of Scientific Data Visualizations
Swenson, Sandra Signe – ProQuest LLC, 2010
Professionally developed and freely accessible through the Internet, scientific data maps have great potential for teaching and learning with data in the science classroom. Solving problems or developing ideas while using data maps of Earth phenomena in the science classroom may help students to understand the nature and process of science. Little…
Descriptors: Majors (Students), Public Colleges, Maps, Internet

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