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Showing 1 to 15 of 218 results Save | Export
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Rehrey, George; Shepard, Linda; Hostetter, Carol; Reynolds, Amberly; Groth, Dennis – Journal of Learning Analytics, 2019
To successfully implement Learning Analytics (LA) systems within higher education, we need to engage administrators, faculty, and staff alike. This paper is by and primarily for practitioners. We suggest implementation strategies that consider the human factor in adopting new technologies by analyzing the viability of our Learning Analytics…
Descriptors: Learning Analytics, Change Agents, School Culture, Technology Integration
Lesaux, Nonie K., Ed.; Jones, Stephanie M., Ed. – Harvard Education Press, 2016
"The Leading Edge of Early Childhood Education" aims to support the effort to simultaneously scale up and improve the quality of early childhood education by bringing together relevant insights from emerging research to provide guidance for this critical, fledgling field. It reflects the growing recognition that early childhood…
Descriptors: Early Childhood Education, Academic Achievement, Cognitive Development, Emotional Development
Baldwin, Chris; Borcoman, Gabriela; Chappell-Long, Cheryl; Coperthwaite, Corby A.; Glenn, Darrell; Hutchinson, Tony; Hughes, John; Jenkins, Rick; Jovanovich, Donna; Keller, Jonathan; Klimczak, Benjamin; Schneider, Bill; Stewart, Carmen; Stuart, Debra; Yeager, Michael – Jobs for the Future, 2012
Enrollment is rising across the nation's community colleges, but completion rates remain untenably low. Reformers are focusing on the importance of using comprehensive, high-quality data on student progress and completion to bring about change. A core tenet of Achieving the Dream: Community Colleges Count has been to embed a culture of…
Descriptors: Community Colleges, Enrollment, Educational Attainment, Educational Policy
Warren, Constancia; Rennie-Hill, Leslie; Pfeiffer, Jay Jordon – US Department of Education, 2012
The emergence of longitudinal data systems over the past decade has provided exciting opportunities to better understand students' educational trajectories over time and institutions. The stark reality for today's high school students is that some form of postsecondary education is a necessary ticket of entry to a secure economic future. This…
Descriptors: Data Use, Postsecondary Education, College Readiness, Access to Education
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Bocala, Candice; Henry, Susan F.; Mundry, Susan; Morgan, Claire – Regional Educational Laboratory Northeast & Islands, 2014
The "Practitioner Data Use in Schools: Workshop Toolkit" is designed to help practitioners systematically and accurately use data to inform their teaching practice. The toolkit includes an agenda, slide deck, participant workbook, and facilitator's guide and covers the following topics: developing data literacy, engaging in a cycle of…
Descriptors: Workshops, Teaching Methods, Literacy, Data Analysis
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
Council of Chief State School Officers, 2013
The Council of Chief State School Officers (CCSSO) has released a new publication titled "High School Graduation: State Policies Driving Transparency and Success." The report describes recent state actions aimed at ensuring all students graduate from high school college-and career-ready, and policy issues such as graduation rate…
Descriptors: Disabilities, Graduation, Graduation Rate, State Policy
Pigott, Therese D.; Williams, Ryan T.; Polanin, Joshua R.; Wu-Bohanon, Meng-Jia – Society for Research on Educational Effectiveness, 2012
The purpose of this research to investigate the heterogeneity of per-pupil expenditure (PPE) slope estimates in predicting student achievement. The research question guiding this project is: how does the measured relationship between per-pupil expenditure vary across studies that use different models? In concert with SREE's 2012 conference mission…
Descriptors: Productivity, Expenditures, Academic Achievement, Regression (Statistics)
Therriault, Susan Bowles; Heppen, Jessica; O'Cummings, Mindee; Fryer, Lindsay; Johnson, Amy – National High School Center, 2010
This Early Warning System (EWS) Implementation Guide is a supporting document for schools and districts that are implementing the National High School Center's Early Warning System (EWS) Tool v2.0. Developed by the National High School Center at the American Institutes for Research (AIR), the guide and tool support the establishment and…
Descriptors: High Schools, Dropout Prevention, At Risk Students, Decision Making
Public Agenda, 2015
Communities across the country are grappling with different approaches to improving their schools. Introducing or expanding charter schools is one of the approaches that states and school districts have considered or implemented. Charter schools serve more than 5 percent of public school students nationwide and make up close to 7 percent of all…
Descriptors: Charter Schools, Public Schools, Educational Improvement, Program Implementation
Xiang, Yun; Hauser, Carl – Northwest Evaluation Association, 2010
The purpose of this paper is to offer an analytic perspective to policy makers and educational practitioners regarding how to use longitudinal achievement data to evaluate schools. The authors further discuss the potential practical applications of their models for superintendents, researchers, and policy makers. The premise of the study is that…
Descriptors: Academic Achievement, Comparative Analysis, Policy Formation, Data Analysis
Goodwin, Bryan – Mid-continent Research for Education and Learning (McREL), 2010
Does the world really need another report? What "more" could be said that has not already been said? Mid-continent Research for Education and Learning (McREL) asked themselves the same question and launched a major year long effort to capture what is currently known about what it takes to ensure the success of all students, especially…
Descriptors: Educational Change, Disadvantaged Youth, Poverty, Educational Improvement
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Mercier Smith, Jean L.; Fien, Hank; Basaraba, Deni; Travers, Patricia – TEACHING Exceptional Children, 2009
This article describes a data-based continuous-improvement framework that can help school teams use what the authors call "systems-level data" to support teachers in achieving successful beginning reading outcomes for all students. The authors also furnish an example of an elementary school in the Pacific Northwest that uses such a…
Descriptors: Student Evaluation, Beginning Reading, Data Analysis, Literacy
Heritage, Margaret; Chen, Evan – Phi Delta Kappan, 2005
Without using data to inform their actions at every step of the way, teachers and administrators will probably not reach their goals for school improvement. In this article, the authors describe a CRESST initiative that helps educators develop the skills to collect, analyze, and be guided by data. Five steps to effective date use are described in…
Descriptors: Academic Achievement, Educational Improvement, Data Collection, Data Analysis
Lachat, Mary Ann – 2001
High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
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