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Rodrigo Duran; Silvia Amélia Bim; Itana Gimenes; Leila Ribeiro; Ronaldo Celso Messias Correia – ACM Transactions on Computing Education, 2023
"Motivation": Enrollments in Brazilian computing degrees are at an all-time high, but graduation numbers have not increased at the same rate. Moreover, enrollment growth has mainly attracted male students, steadily expanding the gender gap in Brazilian computing programs. Such high attrition rates have a great economic impact and may…
Descriptors: Foreign Countries, Academic Persistence, Intention, Dropout Characteristics
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Griffin, Alice; Johnson, Kelly V.; Jogan, Kathi – Journal of College Student Retention: Research, Theory & Practice, 2022
This study examined the differences between first-year students who continued to Year 2 and first-year students who did not return to the second year at a mid-size, public, research university in the mid-south. The study utilized the National Survey of Student Engagement to compare the level of student-faculty interaction, experiences with the…
Descriptors: College Freshmen, Student Behavior, Student Characteristics, Dropouts
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Giano, Zachary; Williams, Amanda L.; Becnel, Jennifer N. – Journal of Early Adolescence, 2022
Students who repeat a grade are at a higher risk of dropping out of high school. Previous research has examined this in a methodologically aggregated way (e.g., repeated any grade versus never repeated) or only specific grades/grade ranges (e.g., Kindergarten or elementary) leaving questions about which grades are more detrimental to repeat with…
Descriptors: Grade Repetition, At Risk Students, Instructional Program Divisions, High School Students
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Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
Bahr, Peter Riley – Center for Analysis of Postsecondary Education and Employment, 2016
In this study, I use data from California to estimate the returns to a community college education for students who do not complete postsecondary credentials. I find strong, positive returns to completed credits in career and technical education (CTE) fields that are closely linked to employment sectors that are not credential-intensive, such as…
Descriptors: Community Colleges, Labor Market, Outcomes of Education, Dropout Characteristics
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Kim, Kyung-Nyun – Education and Urban Society, 2015
This study investigated the relation between building human capital of former dropouts and their occupational standing and the interaction effects with individual characteristics. By applying the growth curve model, this study highlighted the factors that lead high school dropouts to enhance their occupational standing. An increment in the work…
Descriptors: Dropout Characteristics, Dropout Programs, Dropout Research, Investigations
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Rendón, Maria G. – Urban Review: Issues and Ideas in Public Education, 2014
Using data from the National Longitudinal Study of Adolescent Health (Add Health) this study compares if and how neighborhood effects on the likelihood to drop out and be "disconnected" from school and work in young adulthood change when schools are taken into account. As widely documented, I find that neighborhood socioeconomic status…
Descriptors: Dropouts, Young Adults, Neighborhoods, Context Effect
Johnson, Roy L.; Montes, Felix – Intercultural Development Research Association, 2015
Since 1986, Intercultural Development Research Association (IDRA) has conducted an annual attrition study to track the number and percent of students in Texas who are lost from public secondary school enrollment prior to graduation. The study builds on the series of studies that began when IDRA conducted the first comprehensive study of school…
Descriptors: Public Schools, Student Attrition, Dropouts, School Holding Power
Brunner, Josie; Malerba, Cathy – Online Submission, 2009
In this 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. A separate research brief also was published. [For the research brief, see ED628171.]
Descriptors: Grade 8, Predictor Variables, Dropout Characteristics, Dropouts
Collins, Carla; Gampert, Richard – 1988
Examination of dropout trends in New York City for 1986-87 reveals the following: (1) the annual dropout rate was 7.3 percent for the high schools, and 8.3 percent system-wide; (2) the estimated four-year dropout rate was 26.3 percent for the high schools, and 29.2 percent system-wide; (3) the 1986-87 four-year high school dropout rate was 6.2…
Descriptors: Dropout Characteristics, Dropout Rate, Dropout Research, High School Students
Zafirau, James S. – 1990
This study of the "flow-through" of students through Cleveland (Ohio) Public School buildings between 1985 and 1989 followed four cohorts of students as they progressed through primary, upper elementary, intermediate, and high school buildings. At each level, the characteristics of "stable" students, who remained in the same…
Descriptors: Age Grade Placement, Cohort Analysis, Dropout Characteristics, Elementary Secondary Education
Carpenter, John – 1990
This is the first in a series of annual reports presenting information on the number of students who dropout of Nevada high schools. The report, covering the 1988-89 school year, is based on a count of dropouts, made each school year by the Nevada State Department of Education. Changes made in the student accounting regulations in January 1988…
Descriptors: Annual Reports, Dropout Characteristics, Dropout Rate, High School Students
Opperman, Prudence; Gampert, Richard D. – 1989
Examination of dropout trends in New York City for 1987-88 reveals the following: (1) the annual dropout rate was 7.5 percent for the high schools, and 8.4 percent system-wide; (2) the estimated 4-year dropout rate was 26.8 percent for the high schools, and 29.7 percent system-wide; (3) the 1987-88 4-year high school dropout rate was 5.7…
Descriptors: Dropout Characteristics, Dropout Programs, Dropout Rate, Dropout Research
Feedback, 1985
The Austin Independent School District (AISD) in Austin, Texas defines a dropout as a student who leaves AISD and for whom there is no evidence that he/she is pursuing an education in another district or institution offering a high school diploma. All students who withdraw from AISD are initially considered dropouts. When a request for a…
Descriptors: Black Students, Comparative Analysis, Cultural Differences, Dropout Characteristics
Phoenix Union High School District, AZ. Research Services. – 1982
During the past several years the Phoenix Union High School has experienced a phenomenal decline in enrollment and a high dropout rate. To focus on enrollment statistics, number of dropouts, causes for dropping out, number of dropouts by race, percent of absences, and transfers, computerized data received from district high schools were analyzed.…
Descriptors: Attendance, Declining Enrollment, Dropout Characteristics, Dropout Research
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