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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
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
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
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
Wang, Ming-Te; Fredricks, Jennifer A. – Child Development, 2014
Drawing on the self-system model, this study conceptualized school engagement as a multidimensional construct, including behavioral, emotional, and cognitive engagement, and examined whether changes in the three types of school engagement related to changes in problem behaviors from 7th through 11th grades (approximately ages 12-17). In addition,…
Descriptors: Learner Engagement, Behavior Problems, Dropouts, Adolescents
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
Blount, Taheera – Journal of School Counseling, 2012
School counselors are charged to identify potential dropouts and they work closely with students to help them stay in school or find alternative means of completing their education. Ninth grade students transitioning to high school experience insurmountable challenges as they shift from middle school to high school. Students who lack the academic…
Descriptors: Dropouts, Risk, Intervention, School Counselors
Cratty, Dorothyjean – Economics of Education Review, 2012
Nineteen percent of 1997-98 North Carolina 3rd graders were observed to drop out of high school. A series of logits predict probabilities of dropping out on determinants such as math and reading test scores, absenteeism, suspension, and retention, at the following grade levels: 3rd, 5th, 8th, and 9th. The same cohort and variables are used to…
Descriptors: At Risk Students, Dropouts, High School Students, Probability
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
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
Shealy, Linda C. – ProQuest LLC, 2011
Over one million high school students drop out of school each year in this country. Dropping out of school is a serious problem for the student, community, and the nation. Often dropouts are unable to compete in an increasingly technological society and face numerous consequences from their decision to leave school early including higher levels of…
Descriptors: Dropouts, High School Students, High School Graduates, Identification
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
Brunner, Josie – Online Submission, 2010
The most powerful predictors of overall dropout risk among Austin Independent School District (AISD) 9th graders were failing either the state of Texas reading or math TAKS tests, having school attendance below 90%, and being 16 years or older at the start of the school year.
Descriptors: Grade 9, At Risk Students, Dropouts, Attendance
Brunner, Josie – Online Submission, 2011
Ninth-grade predictors of dropout risk among Austin Independent School District's English language learner students included the following: having an attendance rate below 90%, being 16 years or older, earning less than 5 course credits, attending a Title I campus and scoring beginning or intermediate on the state's English proficiency assessment…
Descriptors: Language Tests, At Risk Students, Dropouts, Predictor Variables
Dounay, Jennifer – Education Commission of the States (NJ3), 2007
Improving high school graduation rates has in recent years become a growing concern to state and local policymakers for a number of reasons: the reduced economic opportunities and increased social costs for individuals without a high school diploma; the economic consequences, such as reduced tax revenues; and the need for more college graduates.…
Descriptors: High Schools, Taxes, Graduation Rate, Dropout Prevention
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