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Silvia Di Battista – British Journal of Educational Psychology, 2025
Background: According to gender-differentiated attributions of failure in the STEM field, errors tend to be attributed to internal factors more to girls than to boys. Aims: This experimental study explored factors influencing gender-differentiated teachers' internal attributions of girls' and boys' errors and the consequent likelihood of teachers'…
Descriptors: Gender Differences, Failure, Attribution Theory, STEM Education
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Schwinger, Malte; Trautner, Maike; Pütz, Nadine; Fabianek, Salome; Lemmer, Gunnar; Lauermann, Fani; Wirthwein, Linda – Journal of Educational Psychology, 2022
Self-handicapping is a maladaptive strategy that students employ to protect their self-image when they fear or anticipate academic failure. Instead of increasing their effort, students may harm their chances of success by procrastinating, strategically withdrawing effort, or engaging in destructive behaviors like drug abuse, so that potential…
Descriptors: Student Behavior, Self Destructive Behavior, Time Management, Withdrawal (Psychology)
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Yoon, Susan; Quinn, Camille R.; Shockley McCarthy, Karla; Robertson, Angela A. – Youth & Society, 2021
The primary aim of this study was to examine gender and racial differences in the association between system involvement types (i.e., child protective services [CPS] only, juvenile justice system only, and dual involvement) and academic outcomes (i.e., grade failure, chronic absenteeism). This study used records from a linked database of public…
Descriptors: Gender Differences, Racial Differences, Child Welfare, Juvenile Justice
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García y García, Blanca Elba – Journal on Efficiency and Responsibility in Education and Science, 2021
This study explores the attributions to which undergraduate university students ascribe academic achievement. Attribution theory was used as a means to understand scholastic success-failure. The questions that guided the study were the following: What are the causal attributions that predominate in students' academic achievement? Is there a…
Descriptors: Undergraduate Students, Student Attitudes, Attribution Theory, Academic Achievement
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Hartman, Jenifer J.; Janssens, Radford; Hensberry, Karina K. R. – Education Leadership Review, 2020
Data-driven decision making is a critical leadership skill. This study describes how leadership at a four-year university used extant data to improve student outcomes. The University identified the high rate of first-time-in-college (FTIC) student withdrawal/failure in initial algebra courses as having a detrimental effect on other student success…
Descriptors: College Freshmen, Student Placement, College Mathematics, Leadership
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Abdi Zarrin, Sohrab; Gracia, Esther – Educational Sciences: Theory and Practice, 2020
Academic procrastination is a problem behavior with negative consequences for students. The extent of this phenomenon among students and the negative impact on their academic achievement requires more attention and research on this issue. The present study was conducted with the aim of investigating on the role of fear of failure and subscale of…
Descriptors: Foreign Countries, College Students, Student Behavior, Time Management
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Milz, Sabine – Canadian Journal for the Scholarship of Teaching and Learning, 2020
This observational study adds to a small number of college-specific studies comparing student performance in online and face-to-face versions of the same course. It also complements more largescale college-based studies that compare the delivery formats across courses, disciplines, and institutions. Using descriptive statistics and the chi-square…
Descriptors: Academic Achievement, Student Evaluation, Conventional Instruction, Electronic Learning
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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
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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
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Lindsay, Keston; Carlsen-Landy, Bev; Boaz, Cammy; Marshall, David – International Journal of Research in Education and Science, 2017
Supplemental Instruction (SI) is a program that seeks to improve student success by targeting classes with high failure rates, as defined with a failure percentage of 30% or more. It is organized by an administrative SI supervisor who supervises SI leaders, which are students that have successfully completed the courses that they have been…
Descriptors: Predictor Variables, Academic Achievement, Supplementary Education, College Students
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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
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Okilwa, Nathern S. A. – Journal of At-Risk Issues, 2016
This study explored the experiences of middle school students, particularly focusing on the academic achievement of economically disadvantaged students. For low SES middle school students, the known cumulative effects of poverty coupled with school transition and early adolescence development heighten the potential risks for school failure. By…
Descriptors: Middle School Students, Economically Disadvantaged, Predictor Variables, Parent Participation
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Dante, Angelo; Fabris, Stefano; Palese, Alvisa – Advances in Health Sciences Education, 2013
Empirical studies and conceptual frameworks presented in the extant literature offer a static imagining of academic failure. Time-to-event analysis, which captures the dynamism of individual factors, as when they determine the failure to properly tailor timely strategies, impose longitudinal studies which are still lacking within the field. The…
Descriptors: Foreign Countries, Nursing, Nursing Education, Nursing Students
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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
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Warrican, S. Joel; Leacock, Coreen J.; Thompson, Benita P.; Alleyne, Melissa L. – Open Praxis, 2014
This paper investigated success rates and possible predictors of success among students at The University of the West Indies Open Campus. Archival data were mined from admissions and academic records of students from the 2008 intake to explore retention and completion rates, and for students enrolled in two online undergraduate courses in Semester…
Descriptors: Foreign Countries, Success, Predictor Variables, College Students
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