Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 12 |
Since 2006 (last 20 years) | 30 |
Descriptor
Predictor Variables | 53 |
Student Characteristics | 53 |
Academic Failure | 46 |
Academic Achievement | 25 |
At Risk Students | 14 |
Student Behavior | 13 |
Attendance | 12 |
Dropouts | 12 |
Foreign Countries | 12 |
Grades (Scholastic) | 11 |
Grade Point Average | 10 |
More ▼ |
Source
Author
Publication Type
Education Level
Secondary Education | 17 |
High Schools | 16 |
Middle Schools | 12 |
Junior High Schools | 11 |
Higher Education | 10 |
Elementary Education | 9 |
Postsecondary Education | 9 |
Grade 8 | 7 |
Grade 9 | 7 |
Elementary Secondary Education | 4 |
Grade 12 | 2 |
More ▼ |
Audience
Counselors | 1 |
Practitioners | 1 |
Researchers | 1 |
Location
Texas (Austin) | 4 |
North Carolina | 3 |
Belgium | 2 |
Canada | 2 |
Pennsylvania (Pittsburgh) | 2 |
Texas | 2 |
Australia | 1 |
Brazil | 1 |
Canada (Toronto) | 1 |
Colorado | 1 |
Czech Republic | 1 |
More ▼ |
Laws, Policies, & Programs
Temporary Assistance for… | 2 |
Assessments and Surveys
National Council Licensure… | 1 |
What Works Clearinghouse Rating
Tisha L. N. Emerson; KimMarie McGoldrick – Journal of Economic Education, 2024
Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…
Descriptors: Microeconomics, Student Attrition, Withdrawal (Education), Academic Persistence
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
Li, Yibing; Garland, Marshall; Kilborn, Mitchell – Regional Educational Laboratory Southwest, 2022
The School Improvement Division of the Texas Education Agency (TEA) identifies, monitors, and supports low-performing schools. To identify low-performing schools, TEA assigns annual academic accountability ratings to its districts and schools, but these ratings are provided only once per year and are vulnerable to disruptions in the assessment…
Descriptors: Accountability, Low Achievement, Educational Indicators, Student Behavior
Regional Educational Laboratory Southwest, 2022
The School Improvement Division of the Texas Education Agency (TEA) identifies, monitors, and supports low-performing schools. To identify low-performing schools, TEA assigns annual academic accountability ratings to its districts and schools, but these ratings are provided only once per year and are vulnerable to disruptions in the assessment…
Descriptors: Accountability, Low Achievement, Educational Indicators, Student Behavior
Goad, Tyler; Jones, Emily; Bulger, Sean; Daum, David; Hollett, Nikki; Elliott, Eloise – American Journal of Distance Education, 2021
Currently, limited data are available on student retention rates and attrition factors in online physical education (OLPE) courses. Several early OLPE studies as well as the 2007 NASPE Initial Guidelines for Online Physical Education have suggested that certain prescreening efforts be in place prior to student enrollment in OLPE; however, at…
Descriptors: Online Courses, Distance Education, Physical Education, Health Related Fitness
Young, Ellie L.; Moulton, Sara E.; Julian, Alex – Preventing School Failure, 2021
The authors compared data from a social-emotional-behavior screener (i.e., the "Student Risk Screening Scale--Internalizing and Externalizing" [SRSS-IE]) with data from a high school early warning system. Data from 2,256 suburban high school students were used. Research questions examined the degree to which student demographic variables…
Descriptors: Student Behavior, Social Development, Emotional Development, At Risk Persons
Duguet, Amélie; Le Mener, Marielle; Morlaix, Sophie – International Journal of Higher Education, 2016
In France, the university has been experiencing a major crisis for several decades in the form of a high rate of student failure, particularly during the "licence," or first cycle of studies. This prolonged crisis has led educational researchers to focus on the predictors of student failure in University. This paper reviews the existing…
Descriptors: Predictor Variables, Educational Research, Foreign Countries, Academic Achievement
Deussen, Theresa; Hanson, Havala; Bisht, Biraj – Regional Educational Laboratory Northwest, 2017
Students who drop out of high school are at increased risk of a range of negative social and economic consequences, including lower earnings and poorer health. To reduce dropout rates and lessen these negative consequences, districts around the country are using early warning indicators to identify and provide supports for students at risk of…
Descriptors: At Risk Students, High School Students, Dropouts, English Language Learners
Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. REL 2020-027
Bruch, Julie; Gellar, Jonathan; Cattell, Lindsay; Hotchkiss, John; Killewald, Phil – Regional Educational Laboratory Mid-Atlantic, 2020
This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…
Descriptors: At Risk Students, Data Use, Child Welfare, Predictor Variables
Gensheimer, Leah K.; Diebold, Charles T. – Journal of College Student Retention: Research, Theory & Practice, 2014
College student attrition rates remain constant despite institution level efforts. This retrospective archival study examined how individual instructors at the course level might impact academic success and retention by acting on a real time at risk warning system. Five semesters of scores on the first exam in an undergraduate psychology course…
Descriptors: Student Attrition, Academic Persistence, Undergraduate Students, Psychology
Regional Educational Laboratory Mid-Atlantic, 2020
The document are the appendixes for the full report, "Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks." The study team collected and linked five academic years of student-level administrative data from Pittsburgh Public Schools (PPS), Propel Schools, and the Allegheny County Department of Human…
Descriptors: Elementary Secondary Education, Public Schools, Charter Schools, At Risk Students
Landis, Rebecca N.; Reschly, Amy L. – Journal for the Education of the Gifted, 2013
The issue of high school dropout has long concerned policy makers, educational professionals, and the general public. In the gifted literature, this concern is no less pressing. Student engagement is becoming an increasingly discussed construct for conceptualizing the dropout phenomenon and designing appropriate interventions to prevent this…
Descriptors: Academically Gifted, Dropouts, Underachievement, Student Participation
Pinxten, Maarten; De Fraine, Bieke; Van Den Noortgate, Wim; Van Damme, Jan; Boonen, Tinneke; Vanlaar, Gudrun – Studies in Higher Education, 2015
This study examines the choice of a university major with a special focus on the type of major chosen in the first year and success/failure at the end of this first year, using a sample of 2284 students in Flanders, Belgium. Extending previous research, the effects of prior subject uptake, occupational interests, prior mathematics and Dutch…
Descriptors: Majors (Students), Socioeconomic Status, Regression (Statistics), Academic Failure
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
Grodner, Andrew; Rupp, Nicholas G. – Journal of Economic Education, 2013
In this article, the authors describe a field experiment in the classroom where principles of micro-economics students are randomly assigned into homework-required and not-required groups. The authors find that homework plays an important role in student learning, especially so for students who initially perform poorly in the course. Students in…
Descriptors: Higher Education, College Students, Homework, Assignments