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Wang, Zhanjun; Qiao, Weifeng; Li, Jiangbo – Chinese Education & Society, 2016
Higher education monitoring evaluation is a process that uses modern information technology to continually collect and deeply analyze relevant data, visually present the state of higher education, and provide an objective basis for value judgments and scientific decision making by diverse bodies Higher education monitoring evaluation is…
Descriptors: Higher Education, Progress Monitoring, School Statistics, Academic Achievement
Levenson, Nathan; Boser, Ulrich – Center for American Progress, 2014
Many school district strategic plans and education conferences are aggressively embracing technology to improve teaching and learning. Classroom technology typically includes blended learning, personalized learning, online courses for students, and professional development for teachers, among many other things. As districts wrestle with tighter…
Descriptors: Technology Uses in Education, Management Information Systems, School Districts, Elementary Secondary Education
Data Quality Campaign, 2014
Better information about how investments in education are influencing outcomes for students, schools, and districts is needed. The growing hunger for using financial data to answer more and evolving questions will require changes in systems, policy, practice, and culture. The problem at hand is that both people and systems have limited capacity to…
Descriptors: Success, Data, Investment, Information Utilization
Supovitz, Jonathan; Foley, Ellen; Mishook, Jacob – Education Policy Analysis Archives, 2012
Data have long been considered a key factor in organizational decision-making (Simon, 1955; Lindblom & Cohen, 1979). Data offer perspective, guidance, and insights that inform policy and practice (Newell & Simon, 1972; Kennedy, 1984). Recently, education policymakers have invested in the use of data for organizational improvement in states…
Descriptors: Academic Achievement, Politics of Education, Educational Indicators, Management Information Systems
Data Quality Campaign, 2014
Teachers need longitudinal student-level data, such as attendance history, course-taking patterns, grades, and test scores, to tailor instruction to individual students' strengths and weaknesses. This factsheet uses the findings from the "Data for Action 2013" analysis to discuss how states can provide teachers with student-level…
Descriptors: Teacher Effectiveness, Longitudinal Studies, Academic Achievement, Achievement Gains
Faria, Ann-Marie; Heppen, Jessica; Li, Yibing; Stachel, Suzanne; Jones, Wehmah; Sawyer, Katherine; Thomsen, Kerri; Kutner, Melissa; Miser, David; Lewis, Sharon; Casserly, Michael; Simon, Candace; Uzzell, Renata; Corcoran, Amanda; Palacios, Moses – Council of the Great City Schools, 2012
In recent years, interest has spiked in data-driven decision making in education--that is, using various types of student data to inform decisions in schools and classrooms. In October 2008, the Council of the Great City Schools and American Institutes for Research (AIR) launched a project funded by The Bill & Melinda Gates Foundation that focused…
Descriptors: Academic Achievement, Evidence, Decision Making, Principals
Universities UK, 2012
This report seeks official endorsement from Universities UK and GuildHE for the Higher Education Achievement Report (HEAR) to be adopted sector-wide for students entering higher education in academic year 2012-13. Following extensive trialling and detailed consideration, the report clearly outlines the HEAR and the additional information it…
Descriptors: Academic Achievement, Higher Education, Foreign Countries, Achievement Rating
Stamm, Randy Lee – ProQuest LLC, 2013
The purpose of this mixed method research study was to examine relationships in student and instructor activity logs and student performance benchmarks specific to enabling early intervention by the instructor in a Learning Management System (LMS). Instructor feedback was collected through a survey instrument to demonstrate perceived importance of…
Descriptors: Integrated Learning Systems, Management Information Systems, Early Intervention, Learning Modules
Faria, Ann-Marie; Heppen, Jessica; Li, Yibing; Stachel, Suzanne; Jones, Wehmah; Sawyer, Katherine; Thomsen, Kerri; Kutner, Melissa; Miser, David; Lewis, Sharon; Casserly, Michael; Simon, Candace; Uzzell, Renata; Corcoran, Amanda; Palacios, Moses – Council of the Great City Schools, 2012
In recent years, interest has spiked in data-driven decision making in education--that is, using various types of student data to inform decisions in schools and classrooms. In October 2008, the Council of the Great City Schools and American Institutes for Research (AIR) launched a project funded by The Bill & Melinda Gates Foundation that focused…
Descriptors: Academic Achievement, Decision Making, Urban Schools, Instructional Improvement
Reeves, Douglas B.; Flach, Tony – Journal of Staff Development, 2011
Learning Forward's Standards for Professional Learning have the potential to influence educational policy and practice in profound ways for the systems that are courageous enough to take them seriously, and the Data standard is a critical element systemwide. Schools are overwhelmed with data warehouses, colorful charts and graphs, and endless…
Descriptors: Feedback (Response), Incentives, Academic Achievement, Leadership Effectiveness
Washington State School Directors' Association (NJ1), 2008
This guide is designed to inform school directors about the value of a data dashboard and to provide information on how districts can create a data dashboard for school directors. A data dashboard is a tool for viewing and analyzing student achievement and performance data. Key data for monitoring student achievement and directing policy level…
Descriptors: Educational Improvement, Academic Achievement, Charts, School Effectiveness
Data Quality Campaign, 2011
As state policymakers strive to ensure that every student is taught by an effective teacher and is ready for college and 21st-century careers, they must also make drastic budget cuts. States cannot do more with less without collecting and using quality data to determine which programs and policies increase student achievement and the state's…
Descriptors: Academic Achievement, Outcomes of Education, Longitudinal Studies, Progress Monitoring
Data Use: Data-Driven Decision Making Takes a Big-Picture View of the Needs of Teachers and Students
Bernhardt, Victoria L. – Journal of Staff Development, 2009
Data-driven decision making is the process of using data to inform decisions to improve teaching and learning. Schools typically engage in two kinds of data-driven decision making--at the school level and at the classroom level. The first leads to the second. In this article, the author describes how Marylin Avenue Elementary School successfully…
Descriptors: Academic Achievement, Decision Making, Data, Educational Improvement
Wilkes, Shani; Brohawn, Kathryn; Mevs, Pascale; Lee, Jaein – Annenberg Institute for School Reform at Brown University (NJ1), 2012
Education leaders across the country confront a growing challenge: too many students are not college ready when they leave high school. Although indicators exist to identify students at risk of dropping out of high school, few indicators of students' college readiness are currently in place, and few districts have linked indicators to practices…
Descriptors: School Readiness, Metric System, College Preparation, Agency Cooperation
Gallagher, Lawrence; Means, Barbara; Padilla, Christine – US Department of Education, 2008
The availability and use of electronic student data systems for instructional improvement are rapidly changing. Federal, state, and district efforts to promote the use of data to improve instruction and student achievement are being accompanied by changes in teacher access to student data systems and data use. Nearly three-quarters of all teachers…
Descriptors: Instructional Improvement, Academic Achievement, Professional Development, Use Studies
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