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What Works Clearinghouse Rating
Edgar I. Sanchez – ACT Education Corp., 2024
Prior research has shown the importance of the ACT score and high school GPA (HSGPA) in predicting college success. Early college success, as indicated by students' first-year college GPA (FYGPA), plays a pivotal role in later college success and timely degree completion (Demeter et al., 2022; Gershenfeld et al., 2016). The accurate prediction of…
Descriptors: College Freshmen, Grade Point Average, Scores, Predictor Variables
Robert J. Sternberg; Jenna Landy; Jennifer Long – Roeper Review, 2024
Procedures for identifying the gifted often make use of tests of general intelligence, among other assessments. Robert J. Sternberg recently suggested that identification of the gifted should further involve assessment of what he refers to as adaptive intelligence--the ability to adapt to real-world environments. Such a conception of intelligence…
Descriptors: Intelligence, Intelligence Tests, Gifted, Identification
Holmes, Lauren; Schumacker, Randall – Measurement: Interdisciplinary Research and Perspectives, 2020
Latent classes of effective and non-effective Algebra I teachers were established using measurements of teacher promoted engagement, teacher promoted understanding, and classroom management from the Measures of Effective Teaching Project (MET Project) database. Historically, robust measures of effective teaching exist in the literature; however,…
Descriptors: Algebra, Mathematics Teachers, Teacher Effectiveness, Databases
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Sage, Andrew J.; Cervato, Cinzia; Genschel, Ulrike; Ogilvie, Craig A. – Journal of College Student Retention: Research, Theory & Practice, 2021
Students are most likely to leave science, technology, engineering, and mathematics (STEM) majors during their first year of college. We developed an analytic approach using random forests to identify at-risk students. This method is deployable midway through the first semester and accounts for academic preparation, early engagement in university…
Descriptors: Majors (Students), Identification, Student Satisfaction, At Risk Students
Adam C. Elder – ProQuest LLC, 2017
The purpose of this study was to use a comprehensive framework to examine academic, psychosocial, noncognitive, and other background factors that are related to retention at a large, public four-year institution in the southeastern United States. Specifically, the study examined what factors are most important in predicting first-to-second year…
Descriptors: Predictor Variables, College Students, Academic Persistence, Models
Tabron, Lolita A.; Ramlackhan, Karen – Educational Policy, 2019
We critically examined the odds of earning a college preparatory diploma for African American high school seniors receiving special education services under Texas's Top 10% Policy (TTPP). Critical policy analysis was used to explore the meritocratic guise of college access for African American youth with disabilities, and through DisCrit,…
Descriptors: State Policy, Disabilities, Access to Education, African American Students
Wakefield, Nathan; Champion, Joe; Bolkema, Jessalyn; Dailey, Douglas – International Journal of Research in Undergraduate Mathematics Education, 2018
The purpose of this study was to investigate implementation of an early intervention mastery activity during the first two weeks of college algebra and precalculus courses at a large U.S. public university. Statistical modeling of (N = 935) students' performance in the courses, including a logistic regression model of pass/fail course achievement…
Descriptors: Algebra, Calculus, Mastery Learning, Mathematics Instruction
Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
During the 2013/14 school year two Florida school districts sought to develop an early warning system to identify students at risk of low performance on college readiness measures in grade 11 or 12 (such as the SAT or ACT) in order to support them with remedial coursework prior to high school graduation. The study presented in this report provides…
Descriptors: Reading Tests, Scores, Predictor Variables, College Readiness
Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
This study examines whether scores from an interim reading assessment in grade 9, the Florida Assessments for Instruction in Reading--Florida Standards, can be used to identify students who may score below the college readiness benchmark on the Preliminary SAT/National Merit Scholarship Qualifying Test and ACT Plan in grade 10. Using scores on an…
Descriptors: Reading Tests, Scores, Predictor Variables, College Readiness
Radunzel, Justine – ACT, Inc., 2017
As pushes for increased accountability in higher education continue, postsecondary institutions are interested in identifying early on students who are at-risk of leaving their institution. With this in mind, this study sought to identify incoming first-year student information (such as that available on the ACT student record) that postsecondary…
Descriptors: College Entrance Examinations, At Risk Students, College Preparation, Dropouts
Radunzel, Justine – ACT, Inc., 2016
As pushes for increased accountability in higher education continue, postsecondary institutions are interested in identifying early on students who are at risk of leaving their institution. With this in mind, this study sought to identify incoming first-year student information (such as that available on the ACT student record) that postsecondary…
Descriptors: College Entrance Examinations, At Risk Students, College Preparation, Dropouts
Komarraju, Meera; Ramsey, Alex; Rinella, Virginia – Learning and Individual Differences, 2013
Identifying the best predictors of academic performance is crucial for postsecondary institutions seeking students with the greatest promise. We investigated the relative strength of standardized test scores (ACT), high school GPA, and non-cognitive, college readiness skills in predicting college GPA. College freshmen (505) completed the 108-item…
Descriptors: Academic Achievement, College Readiness, Intellectual Disciplines, At Risk Students
Richardson, Michelle; Abraham, Charles; Bond, Rod – Psychological Bulletin, 2012
A review of 13 years of research into antecedents of university students' grade point average (GPA) scores generated the following: a comprehensive, conceptual map of known correlates of tertiary GPA; assessment of the magnitude of average, weighted correlations with GPA; and tests of multivariate models of GPA correlates within and across…
Descriptors: Personality Traits, Grade Point Average, Self Efficacy, Academic Achievement
Anderson, Susannah; Mezuk, Briana – Journal of Adolescence, 2012
This study investigates the relationship between participating in a high school debate program on college-readiness in the Chicago Public School district over a 10-year period. At-risk school students were identified using an index including 8th grade achievement, poverty status, and enrollment in special education. Regression analyses were used…
Descriptors: At Risk Students, Program Effectiveness, Adolescents, Public Schools
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