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Garvey, Jason C.; Rankin, Susan; Beemyn, Genny; Windmeyer, Shane – New Directions for Student Services, 2017
This chapter describes how institutions can best use data from the Campus Pride Index, focusing on student recruitment and resource/policy advocacy for LGBTQ constituencies.
Descriptors: College Students, Campuses, Educational Environment, Homosexuality
Mayer, Matthew J., Ed.; Jimerson, Shane R., Ed. – APA Books, 2018
This timely book presents a data-driven approach to preventing and responding to school violence. As school violence receives increasing attention across the nation, the application of scientific knowledge is critical. For maximum effectiveness, transdisciplinary teams should use school data, logic models, and theories of change to design,…
Descriptors: School Safety, Violence, Prevention, Ecological Factors
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Toldson, Ivory A.; Johns, David J. – Teachers College Record, 2016
This is the epilogue to the special issue. The authors, two White House officials and policy experts, describe how negative narratives surrounding Black men and the misuse of data can manifest as barriers to high quality learning environments or workforce development opportunities.
Descriptors: Educational Environment, Labor Force Development, Educational Quality, Educational Opportunities
National Center on Safe Supportive Learning Environments, 2017
Improving school climate takes time and commitment from a variety of people in a variety of roles. This document outlines key action steps that noninstructional staff--including guidance counselors, social workers, school psychologists, office staff, bus drivers, maintenance and facility staff, and food service staff--can take to support school…
Descriptors: Educational Environment, Educational Improvement, Educational Resources, Administrative Principles
Allen, Melissa – ProQuest LLC, 2016
With an increased focus on global competition, many educators and policymakers relied on international assessments such as the Programme for International Student Assessment (PISA) to evaluate the ability of their education system to prepare students for the global economy. Students in the United States continued to demonstrate disappointing…
Descriptors: Teaching Conditions, Educational Change, Achievement Gap, Educational Environment
Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
Regional Educational Laboratory West, 2015
A growing body of research shows that positive school climate is a key lever for students' academic and social development and success. This research digest shows how an alliance of California schools and districts, school climate experts, and state education agency personnel have teamed up to use school climate data to drive a continuous cycle of…
Descriptors: Educational Environment, Needs Assessment, Educational Improvement, Progress Monitoring
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Waller, Sharon, Ed. – IntechOpen, 2021
Today's educators stand at the crossroads of globalization and technology. The world is rapidly shrinking. The workplace is being transformed before our very eyes. Technology is forever changing the way we perceive reality and the way we do business. Educators are required to equip students for a workplace that has yet to emerge. The skill sets of…
Descriptors: Global Approach, Technological Advancement, Career Readiness, Libraries
McShane, Michael Q.; DiPerna, Paul – EdChoice, 2018
What does it mean to hold schools accountable? How do we measure school performance? Why do we care? We convened focus groups of K-12 stakeholders to wrestle with these tough questions and help us better understand the current accountability landscape--where we've been as well as where we're headed. We've compiled what those focus group…
Descriptors: Elementary Secondary Education, Accountability, Educational Practices, Educational Change
Farrell, Caitlin C.; Marsh, Julie A.; Bertrand, Melanie – Educational Leadership, 2015
Educators and policymakers have expressed considerable enthusiasm for engaging students with data. In this article, the authors consider how teachers commonly examine data with their students, and how these practices are likely to affect student motivation. Combining motivation research with their own study of teachers in six middle schools that…
Descriptors: Student Motivation, Data, Middle School Students, Middle School Teachers
Mandinach, Ellen B.; Miskell, Ryan C.; Gheen, Margaret – WestEd, 2016
This report provides a description of a study conducted by WestEd on behalf of the Bill and Melinda Gates Foundation to examine how the affordances of the technologies in the blended learning environments of three charter schools impacted teaching and learning activities. A particular focus of the work was to examine whether the blended learning…
Descriptors: Blended Learning, Charter Schools, Technology Uses in Education, Data
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Sloan, Tine Falk – Educational Research for Policy and Practice, 2015
The current U.S. education agenda places unprecedented attention on improving the quality of its roughly fifteen hundred teacher preparation programs. The effort places considerable weight on measuring program effectiveness and includes a push to hold programs accountable for their graduates' effects on student performance. Concerns regarding the…
Descriptors: Program Improvement, Accountability, Teacher Education Programs, Data
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Thille, Candace; Schneider, Emily; Kizilcec, René F.; Piech, Christopher; Halawa, Sherif A.; Greene, Daniel K. – Research & Practice in Assessment, 2014
The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…
Descriptors: Data, Online Courses, Electronic Learning, Case Studies
Farrington, Jeanne – Performance Improvement Quarterly, 2011
For over 50 years, "seven plus or minus two" has been a commonly used guideline for gauging how many chunks of new information should be presented at one time in learning and performance situations. Often cited as the limit of working memory, this guideline was created as a result of misinterpreting an article by Miller (1956). More recent studies…
Descriptors: Instructional Design, Short Term Memory, Guidelines, Cognitive Processes
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Parke, Carol S. – Practical Assessment, Research & Evaluation, 2012
This paper describes how districts can better use their extensive student databases and other existing data to explore questions of interest. School districts are required to maintain a wealth of student information in electronic data systems and other formats. The meaningfulness of the data depends to a large degree on whether they can understand…
Descriptors: Educational Indicators, Information Utilization, Guidelines, School Districts
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