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Katipoglu, Ilke – Eurasian Journal of Educational Research, 2016
Problem Statement: The new regulations for the last ten years in terms of educational inspection in the Ministry of National Education reveal the requirement of setting up a new inspection model that will focus on compliance with statutory regulations and improving the quality of education. In this context, this study is significant, assuming that…
Descriptors: Foreign Countries, Educational Improvement, Models, Surveys
Gloppen, Kari M.; Gower, Amy L.; McMorris, Barbara J.; Eisenberg, Marla E. – Journal of School Health, 2017
Background: Peer harassment can have serious implications for students' success and well-being, and prevention programs need to consider the school context. This study aimed to: (1) identify groups of similar schools based on their risk and protective factors and demographic characteristics and (2) examine associations between school profiles and…
Descriptors: Bullying, Prevention, Student Surveys, Risk
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
Qiu, Xing; Chen, Shaw-Ree; Barrett, Emily S.; Velez, Marissa; Conn, Kelly; Heinert, Sara – Policy Futures in Education, 2014
Endocrine disrupting chemicals (EDCs) such as Bisphenol A (BPA) and phthalates are ubiquitous in our environment and a growing body of research indicates that EDCs may adversely affect human development. Fetal development is particularly susceptible to EDC exposure, and prenatal care providers are being asked to educate women about the risks of…
Descriptors: Risk Assessment, Pregnancy, Models, Beliefs
Hillman, Nicholas W. – Educational Policy, 2015
This study examines the institutional factors associated with student loan default. When a college has more than 30% of its students default on their loans, then the institution faces federal sanctions that could make them ineligible from participating in the federal student loan program. Using Integrated Postsecondary Education Data System…
Descriptors: Cohort Analysis, Probability, Prediction, Federal Regulation
Essa, Alfred; Ayad, Hanan – Research in Learning Technology, 2012
The need to educate a competitive workforce is a global problem. In the US, for example, despite billions of dollars spent to improve the educational system, approximately 35% of students never finish high school. The drop rate among some demographic groups is as high as 50-60%. At the college level in the US only 30% of students graduate from…
Descriptors: Artificial Intelligence, Computer Graphics, Computer Interfaces, Statistical Analysis