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Cecilia Mezzanotte; Claire Calvel – OECD Publishing, 2023
Calls for increased monitoring and evaluation of education policies and practices have not, so far, included widespread and consistent assessments of the inclusiveness of education settings. Measuring inclusion in education has proven to be a challenging exercise, due not only to the complexity and different uses of the concept, but also to its…
Descriptors: Educational Indicators, Inclusion, Educational Policy, Equal Education
Hlioui, Fedia; Aloui, Nadia; Gargouri, Faiez – International Journal of Web-Based Learning and Teaching Technologies, 2021
Nowadays, the virtual learning environment has become an ideal tool for professional self-development and bringing courses for various learner audiences across the world. There is currently an increasing interest in researching the topic of learner dropout and low completion in distance learning, with one of the main concerns being elevated rates…
Descriptors: At Risk Students, Withdrawal (Education), Dropouts, Distance Education
Smith, RaQuaam; Klare, Matthew; Fowler, Catherine – National Technical Assistance Center on Transition: The Collaborative, 2021
This set of resources organizes evidence-based strategies for re-engaging and supporting students with disabilities and their families through school completion. This document is comprised of three related quick references--Part 1: Identify Who Is Missing; Part 2: Re-Engaging Students; and Part 3: Continuing Ongoing Dropout Prevention. Each…
Descriptors: Students with Disabilities, COVID-19, Pandemics, Distance Education
Regional Educational Laboratory Pacific, 2016
Although high school graduation rates continue to rise in the United States, reaching 81 percent in the 2012-2013 school year (U.S. Department of Education, 2015), dropout remains a pervasive issue for education systems across the nation. In recent years, Early Warning Systems (EWS), which utilize administrative data to identify students at risk…
Descriptors: At Risk Students, Readiness, Dropouts, Educational Strategies
Balu, Rekha; Malbin, Joshua – MDRC, 2017
Students learn or progress at their own paces. Each needs different amounts of support, at different points in a school career and at different times of the school year. Some need very little help to stay on track, while others are facing serious challenges in learning, in their behavior, or at home, and need significant interventions. It would…
Descriptors: Student Needs, Educational Practices, Academic Support Services, Intervention
Powers, Daniel A. – New Directions for Institutional Research, 2012
The methods and models for categorical data analysis cover considerable ground, ranging from regression-type models for binary and binomial data, count data, to ordered and unordered polytomous variables, as well as regression models that mix qualitative and continuous data. This article focuses on methods for binary or binomial data, which are…
Descriptors: Institutional Research, Educational Research, Data Analysis, Research Methodology
Dockery, Donna J. – Journal of School Counseling, 2012
School counselors are expected to develop programs that promote academic success for all students, including those at risk for dropping out of school. Knowledge of key indicators of potential dropouts and current trends in dropout prevention research may assist school counselors in better understanding this complex issue. Implementing recommended…
Descriptors: Dropouts, School Counselors, Academic Achievement, Risk
Frazelle, Sarah; Nagel, Aisling – Regional Educational Laboratory Northwest, 2015
To stem the tide of students dropping out, many schools and districts are turning to early warning systems (EWS) that signal whether a student is at risk of not graduating from high school. While some research exists about establishing these systems, there is little information about the actual implementation strategies that are being used across…
Descriptors: At Risk Students, Dropouts, Dropout Prevention, Prevention
Siemens, George; Long, Phil – EDUCAUSE Review, 2011
Attempts to imagine the future of education often emphasize new technologies--ubiquitous computing devices, flexible classroom designs, and innovative visual displays. But the most dramatic factor shaping the future of higher education is something that people cannot actually touch or see: "big data and analytics." Learning analytics is still in…
Descriptors: Higher Education, Educational Change, Learning Experience, At Risk Students
Pfeifer, R. Scott; Sadusky, Bernard; Kubic, Kathryn – Principal Leadership, 2010
In the past year, there was an overall decrease in dropouts at all grade levels in Maryland, with the largest decrease occurring among students in grade 12. Not surprisingly, principals across the state discovered that alternative assessment strategies that were designed to help students from special populations actually worked for all students.…
Descriptors: Student Projects, Student Evaluation, Alternative Assessment, Dropouts
Office of Special Education and Rehabilitative Services, US Department of Education, 2009
This 2006 or "28th Annual Report to Congress" follows the 2005 or "27th Annual Report to Congress" in sequence. Volume 1 focuses on the children and students being served under "IDEA" and provides profiles of individual states' special education environments. Volume 2 of the "2006 Annual Report to Congress"…
Descriptors: Early Intervention, Disabilities, Data Analysis, Special Education
National High School Center, 2007
Many states and districts across the country struggle with designing and implementing coherent dropout prevention initiatives that promote academic advancement, especially for special needs students, who drop out at much higher rates than the general student population. This "snapshot" describes New Hampshire's innovative use of data…
Descriptors: Dropout Prevention, Dropouts, Special Needs Students, Dropout Programs
Rampell, Catherine – Chronicle of Higher Education, 2008
This article reports that several colleges and universities like Purdue University are mining data they have about students to try to improve retention. The institutions analyze years' worth of data on which students did well and which did poorly, and what variables--whether they be SAT scores, financial-aid status, or attendance at the dining…
Descriptors: Data Analysis, School Holding Power, Computer Mediated Communication, Academic Achievement
National High School Center, 2007
This issue brief outlines the immediate need for more accurate dropout and graduation data, while providing a snapshot of work currently underway. By drawing on two prominent methods for calculating graduation rates: the National Governors Association's endorsed longitudinal approach and the Averaged Freshman Graduation Rate (AFGR), this brief…
Descriptors: Graduation Rate, Dropouts, Dropout Rate, Data Collection
Ashby, Nicole, Ed. – US Department of Education, 2004
This biweekly newsletter contains news and information about school improvement in the United States. It is designed expressly for parents and families. This issue highlights an announcement, by U.S. Department of Education Secretary Rod Paige, of a contract to the National Institute of Statistical Sciences to convene a group of experts to review…
Descriptors: Educational Improvement, Dropout Rate, Graduation Rate, Dropouts
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