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Schuta, Theresa; Mauricio, David – Principal Leadership, 2012
Three years ago, the authors accepted positions as high school principals in Buffalo City (NY) Schools after serving as elementary school principals in the district for many years. In their new positions, they were to lead schools that were designated by the New York State Department of Education as "persistently lowest achieving,"…
Descriptors: Behavior Modification, Principals, Graduation Rate, Positive Reinforcement
Weston, Margaret – Public Policy Institute of California, 2011
The three appendices herein accompany the main report, "California's New School Funding Flexibility." Included are: (1) California's Previous Flexibility Policies; (2) Data and Methods; and (3) Categorical Funding and Student Disadvantage. (Contains 3 tables and 12 footnotes.) [For "California's New School Funding Flexibility,"…
Descriptors: State Government, Financial Support, Educational Finance, Educational Policy
Kronholz, June – Education Next, 2011
Presidents at least as far back as Bill Clinton have made attendance a priority of their school-reform efforts, in part because of the social costs of youngsters not attending. There's a direct line from truancy to juvenile crime, gang membership, and drug use, according to the U.S. Department of Justice. There's an equally direct line from…
Descriptors: School Holding Power, Academic Persistence, Dropout Prevention, Truancy
Bangser, Michael – MDRC, 2013
In the United States, 1.6 million young people between 18 and 24 years old are out of school (lacking either a high school degree or General Educational Development certificate) "and" out of work. These "disconnected" young people face significant barriers to economic opportunity and distressingly high odds of becoming involved…
Descriptors: Out of School Youth, Barriers, At Risk Persons, Intervention
Cromwell, Ashley M.; McClarty, Katie Larsen; Larson, Sarah J. – Pearson Education, Inc., 2013
This paper outlines current student-level indicators at the high school and middle school levels that predict college success. In this bulletin, indicators are divided into three categories: assessment scores (e.g., SAT® exam scores), transcript attributes (e.g., course rigor), and additional indicators (e.g., attendance) that impact achievement.
Descriptors: College Readiness, Predictor Variables, Success, Middle School Students
Swindell, James W., Jr. – Phi Delta Kappa International, 2011
If students are not in the classroom, they can't learn. The author serves a dual role of teacher and administrator for middle school and high school students who are at high risk for academic failure. Their academic difficulties are mainly due to their negative behavioral patterns, which lead to frequent absences from class. Negative in-class…
Descriptors: Academic Failure, High School Students, Attendance Patterns, Guides
Powell, Justin J. W.; Solga, Heike – Journal of Education and Work, 2011
Countries around the world have witnessed educational expansion at all levels, leading to the massification of tertiary education and training. Tertiary education has become a major factor of economic competitiveness in an increasingly science-based global economy and a key response to shifts in national labour markets. Within the EU, the reform…
Descriptors: Higher Education, Global Approach, Foreign Countries, Vocational Education
Sparks, Sarah D. – Education Week, 2010
While efforts to reduce chronic absenteeism typically focus on adolescents, experts say that the early grades are the place to start. Statistics show that rates of absenteeism in kindergarten and 1st grade can rival those in high school. An average of one in 10 pupils in grades K-12 nationwide is considered chronically absent, defined as missing…
Descriptors: Disadvantaged, Kindergarten, Attendance, Attendance Patterns
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
Jakee, Keith – International Journal of Teaching and Learning in Higher Education, 2011
This instructional paper is intended to provide an alternative approach to developing lecture materials, including handouts and PowerPoint slides, successfully developed over several years. The principal objective is to aid in the bridging of traditional "chalk and talk" lecture approaches with more active learning techniques, especially in more…
Descriptors: Student Participation, Attendance Patterns, Active Learning, Lecture Method
Chrisler, Alison – Child Trends, 2012
Asthma is a chronic respiratory disease that affects millions of children and adolescents each year. In 2009, 7.1 million children ages 0 to 17 years were reported to have asthma. Unfortunately, when children and teens are unable to manage and cope with their disease, it can compromise their physical, academic, and social development. Therefore,…
Descriptors: Physical Health, Academic Achievement, Diseases, Child Health
Baime, David S.; Mullin, Christopher M. – American Association of Community Colleges (NJ1), 2012
In recent months, some legislators, government agency officials, segments of the media, and campus administrators have called attention to perceived and proven instances of abuse of the federal student financial assistance programs. Concerns have focused on students enrolling in courses primarily to secure student financial aid funds rather than…
Descriptors: Student Financial Aid, Grants, Federal Aid, Deception
National High School Center, 2011
The United States high school dropout problem has been called a national crisis, with only 74.9% of public high school students graduating with a diploma in 2008. With states and districts under mounting pressure to raise graduation rates, there is increasing urgency to obtain more accurate and timely data to systematically identify students most…
Descriptors: Dropout Prevention, Dropouts, At Risk Students, Student Needs
Dietel, Ronald – Phi Delta Kappan, 2009
To understand the effects of after-school programs, people need to understand the effects of various "dosages." The Harvard Family Research Project, an agency that devotes considerable resources to the study of after-school programs, recommends three categories for measuring dosage: (1) "intensity"; (2) "duration"; and (3) "breadth." Intensity is…
Descriptors: School Activities, After School Programs, Program Effectiveness, Attendance Patterns
Curtin, Jenny; Hurwitch, Bill; Olson, Tom – National Center for Education Statistics, 2012
An early warning system is a data-based tool that helps predict which students are on the right path towards eventual graduation or other grade-appropriate goals. Through such systems, stakeholders at the school and district levels can view data from a wide range of perspectives and gain a deeper understanding of student data. This "Statewide…
Descriptors: Databases, Educational Indicators, Predictor Variables, At Risk Students

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