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Okan Bulut; Tarid Wongvorachan; Surina He; Soo Lee – Discover Education, 2024
Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…
Descriptors: High School Students, Dropouts, Identification, Man Machine Systems
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Bilige, Sude; Gan, Yongtao – Asia-Pacific Education Researcher, 2020
A number of studies on rural students have addressed the issue of discernible school dropout; however, information on hidden dropout is relatively obscure. To fill this gap, this study examines the data of 2045 rural adolescents (regular students: 1770, hidden dropouts: 275) in Chinese middle schools. This study also theoretically differentiated…
Descriptors: Foreign Countries, Dropouts, Adolescents, Middle School Students
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Kabakci, Omer Faruk – European Journal of Educational Research, 2019
The purpose of the present study is to determine if high school students' character strengths composed of twenty-four different strengths, virtues including six dimensions and demographic characteristics predict risky behaviors. The participants of the study were 380 students aged between 14-19 years and enrolled in general high schools. The data…
Descriptors: Predictor Variables, High School Students, Student Behavior, Behavior Problems
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West, Stephen G.; Hughes, Jan N.; Kim, Han Joe; Bauer, Shelby S. – Educational Measurement: Issues and Practice, 2019
The Motivation for Educational Attainment (MEA) questionnaire, developed to assess facets related to early adolescents' motivation to complete high school, has a bifactor structure with a large general factor and three smaller orthogonal specific factors (teacher expectations, peer aspirations, value of education). This prospective validity study…
Descriptors: Student Motivation, Educational Attainment, Questionnaires, Adolescent Attitudes
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Orozco, Steven R. – ProQuest LLC, 2016
Aggressive students often struggle in multiple domains of their school functioning and are at increased risk for high school dropout. Research has identified a variety of warning flags which are strong predictors of high school dropout. While it is known that aggressive students exhibit many of these warning flags, there is little research which…
Descriptors: Aggression, Dropouts, Dropout Characteristics, High School Students
Hardnett, Sharon G. – ProQuest LLC, 2013
Public awareness of the severity of the high school completion problem in terms of its educational, social, psychological, and economic impacts has grown in recent years. Using ex post facto data, this non-experimental, correlational study was designed to determine whether there are differences in academic performance and school attendance between…
Descriptors: High School Graduates, Correlation, Academic Achievement, Attendance Patterns
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Burke, Arthur – Regional Educational Laboratory Northwest, 2015
The purpose of this study was to examine student characteristics related to completing high school within four years, with particular emphasis on graduation outcomes for male and English language learner students. The authors looked at a cohort of students who began grade 9 in the 2007/08 school year in four Oregon districts. Factors related to…
Descriptors: Identification, High School Students, Grade 9, Graduation
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Osler, James Edward; Waden, Carl – Journal on School Educational Technology, 2013
This paper discusses the implementation of the Tri-Squared Test as one of many advanced statistical measures used to verify and validate the outcomes of an initial study on academic professional's perspectives on the use, success, and viability of 9th Grade Freshman Academies, Centers, and Center Models. The initial research investigation…
Descriptors: At Risk Students, Statistical Analysis, School Holding Power, Academic Achievement
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Schoeneberger, Jason A. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2012
The elementary and middle grades are a time of great developmental changes with the potential to impact children's longer-term growth. As students progress through their formal schooling during these time periods, the potential exists for children either to follow a course of healthy development associated with positive outcomes or to experience…
Descriptors: Dropout Rate, Dropouts, At Risk Students, Identification
Almeida, Cheryl; Steinberg, Adria; Santos, Janet; Le, Cecilia – Jobs for the Future, 2010
Solving America's dropout crisis requires immediate, drastic action. Intractable as the dropout problem may seem, recognition of its magnitude has created an environment ripe for action. Most notably, federal regulations adopted in 2008 require states to use more accurate ways of counting dropouts and holding districts and schools more accountable…
Descriptors: Graduation Rate, Dropout Prevention, Dropouts, Accountability
Mac Iver, Martha Abele; Messel, Matthew – Council of the Great City Schools, 2012
This study of high school outcomes in the Baltimore City Public Schools builds on substantial prior research on the early warning indicators of dropping out. It sought to investigate whether the same variables that predicted a non-graduation outcome in other urban districts--attendance, behavior problems, and course failure--were also significant…
Descriptors: Academic Achievement, Grade Point Average, Enrollment, Behavior Problems
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Uekawa, Kazuaki; Merola, Stacey; Fernandez, Felix; Porowski, Allan – Regional Educational Laboratory Mid-Atlantic, 2010
This Technical Brief presents an historical analysis of key indicators of dropout for Delaware students in grades 9-12. Cut points for key risk indicators of high school dropout for the State of Delaware are provided. Using data provided by the Delaware Department of Education (DDOE), relationships between student dropout and several student…
Descriptors: Dropout Prevention, Dropouts, Predictor Variables, High School Students
Brunner, Josie; Malerba, Cathy – Online Submission, 2010
This research brief provides highlights from the full report (published separately). In the report on AISD students, with a focus on the graduating class of 2009, the most powerful predictors of overall student dropout risk were having an 8th-grade attendance rate of less than 90% and failing both the 8th-grade reading and math TAKS tests. [For…
Descriptors: Grade 8, Predictor Variables, Dropout Characteristics, Dropouts
Logan, Lisa Ellis – ProQuest LLC, 2010
This study examined eighth grade predictor variables for predictive power in identifying students at-risk for dropping out of high school in a northwest Georgia school district. This study involved 340 participants from the 2005/2006 ninth grade class in the selected school district. This quantitative study employed correlation analyses to…
Descriptors: High School Students, Dropout Research, Dropouts, Outcomes of Education
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