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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
Baker, Ryan S.; Berning, Andrew W.; Gowda, Sujith M.; Zhang, Shizhu; Hawn, Aaron – Journal of Education for Students Placed at Risk, 2020
Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse school district in Texas. We predict whether a student will drop out in a future school year from data on students' discipline, attendance, course-taking,…
Descriptors: At Risk Students, High School Students, Dropout Prevention, Student Diversity
Weybright, Elizabeth H.; Caldwell, Linda L.; Xie, Hui; Wegner, Lisa; Smith, Edward A. – South African Journal of Education, 2017
Education is one of the strongest predictors of health worldwide. In South Africa, school dropout is a crisis where by Grade 12, only 52% of the age appropriate population remain enrolled. Survival analysis was used to identify the risk of dropping out of secondary school for male and female adolescents and examine the influence of substance use…
Descriptors: Foreign Countries, Predictor Variables, Predictive Measurement, Secondary School Students
Marshall, David T. – Preventing School Failure, 2022
Using administrative data from an urban school district, two series of predictive models were tested for their ability to project a student's high school graduation status. The models included student grades, attendance, behavior, demographic predictors, and school-level variables. Eighth and ninth-grade variables were tested for two graduation…
Descriptors: High School Students, Grades (Scholastic), Grade 8, Grade 9
Slaughter, Austin; Neild, Ruth Curran; Crofton, Molly – Philadelphia Education Research Consortium, 2018
Ninth grade is a critical juncture for students--and can be a jarring transition. Even students a strong track record in the middle grades can experience academic difficulty, and those who enter high school with poor course grades, weak attendance, or behavior problems are especially at risk. An early misstep can have lasting implications:…
Descriptors: High School Students, Grade 9, At Risk Students, Potential Dropouts
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
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
McKee, M. Todd; Caldarella, Paul – Education, 2016
Dropping out of high school has negative results and implications for individuals and society. The likelihood of dropping out is attributed to both social and academic risk factors. Poor high school attendance, low course completion, and low grade-point-average (GPA) have been identified as three leading indicators that students are at risk for…
Descriptors: Middle School Students, High School Students, Academic Achievement, Predictor Variables
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
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
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
Stuit, David; O'Cummings, Mindee; Norbury, Heather; Heppen, Jessica; Dhillon, Sonica; Lindsay, Jim; Zhu, Bo – Regional Educational Laboratory Midwest, 2016
In partnership with the Midwest Dropout Prevention Research Alliance the study team used student-level data and a five-step process to identify the most accurate indicators of students' failure to graduate from high school on time. Student-level data came from attendance records, transcripts, and discipline records of grade 8 and 9 students in…
Descriptors: High School Students, Academic Failure, Predictor Variables, Graduation
Franklin, Bobby J.; Trouard, Stephen B. – Journal of Educational Research, 2016
The purpose of this study was to examine the effectiveness of dropout predictors across time. Two state-level high school graduation panels were selected to begin with the seventh and ninth grades but end at the same time. The first panel (seventh grade) contained 29,554 students and used sixth grade predictors. The second panel (ninth grade)…
Descriptors: Potential Dropouts, Predictor Variables, Grade 7, Grade 9
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
Stuit, David; Lindsay, Jim; Loney, Emily – Regional Educational Laboratory Midwest, 2016
This study analyzed data on students in three Ohio school districts who had completed grades 8 and 9 to determine which data elements were the most accurate indicators of students' failure to graduate from high school on time. The most accurate indicators varied by district and grade level, which underscores the importance of having school systems…
Descriptors: Dropout Prevention, Academic Failure, Graduation, Accuracy