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No Child Left Behind Act 20011
Showing 1 to 15 of 47 results Save | Export
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Alysa Malespina; Christian D. Schunn; Chandralekha Singh – Physical Review Physics Education Research, 2023
Students' motivational beliefs, such as disciplinary intelligence mindsets, can influence their physics performance and persistence. Intelligence mindset beliefs have long been argued to fall along of continuum between fixed and growth mindsets. Those with fixed physics mindsets believe that ability in physics is innate and unchangable, while…
Descriptors: Physics, Predictor Variables, Grades (Scholastic), Gender Differences
Adam Kenz – ProQuest LLC, 2021
The purpose of this study is to investigate how high school academic and non-academic factors are related to college readiness and performance in freshman-level mathematics and science courses and retention in STEM fields. High school academic indicators for college readiness will include performance in high school science and mathematics courses,…
Descriptors: College Freshmen, Predictor Variables, Academic Persistence, School Holding Power
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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
Jamie J. White – ProQuest LLC, 2020
The purpose of this study was to examine the predictability of selected cognitive and non-cognitive factors on the academic achievement of first-year college students. Data were collected from over 150 freshman students enrolled at a Historically Black College and University located in the southern region of the United States. Data were examined…
Descriptors: College Freshmen, Black Colleges, Predictor Variables, Grade Point Average
Kuo, Yi-Lung; Casillas, Alex; Allen, Jeff – ACT, Inc., 2019
This study investigated the moderating roles of motivation, social engagement, and self-regulation in predicting academic achievement in grades 11-12 for 3,281 7th-9th graders. Standardized assessments of college readiness (ACT® Explore and the ACT® test) and student self-report measures of social emotional learning factors (ACT® Engage® Grades…
Descriptors: College Entrance Examinations, Student Motivation, Self Control, Predictor Variables
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Simmons, Amber B.; Heckler, Andrew F. – Physical Review Physics Education Research, 2020
Two set of studies were conducted to better understand grades and grading practices in physics courses, and how these might influence demographic representational disparities in physics. The first study investigates the relationships between grades and the student-level factors of standardized test scores, (binary) gender, underrepresented…
Descriptors: Grades (Scholastic), Grading, Disproportionate Representation, Introductory Courses
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Brazill, Shihua Chen – Educational Research: Theory and Practice, 2019
This study investigated predictors for ACT Science scores, a test used by many universities to rank applicants. This study utilized quantitative research methods using the Montana Office of Public Instruction's GEMS (Growth and Enhancement of Montana Students) data set. All advanced statistical analysis was conducted using Stata software IC/15.…
Descriptors: Predictor Variables, College Entrance Examinations, Science Achievement, Scores
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Radunzel, Justine – Journal of College Student Retention: Research, Theory & Practice, 2021
First-generation (FG) students are generally less likely than their continuing-generation (CG) peers to persist and complete a degree. Using student data available at initial enrollment, this multi-institutional study examines retention and transfer at the second year in relation to academic readiness, financial resources, college intentions,…
Descriptors: School Holding Power, Academic Persistence, Student Attrition, Dropout Rate
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Lee, Ahlam – Computers in the Schools, 2020
Concerning the underrepresentation of female students in computer science (CS) classes at the K-12 level and math-intensive STEM fields, this study investigated the relationship between female students earning less credits in CS courses during high school and their STEM major choices. Data were drawn from a nationally representative sample of U.S.…
Descriptors: Females, Gender Differences, Computer Science Education, Disproportionate Representation
Silvas, Rebeka A. – ProQuest LLC, 2017
Retention is high on the list of priorities for both college and university administrators, as well as policy makers. It raises the question what high school data are known before a student attends a college that are predictive of student retention? This study examined 3445 first-time-in-college students from three academic years. Predictors…
Descriptors: Academic Persistence, College Students, Predictor Variables, Age Differences
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Williams, Raunda; Smiley, Ellen; Davis, Ronnie; Lamb, Teryana – Journal of Negro Education, 2018
The purpose of this study was to examine the predictability of selected cognitive and non-cognitive factors on retention. Data was collected from 822 first-time-freshmen college students at a four-year institution of higher learning. The material was analyzed using specific predictors of Fall 2012 to Spring 2013 retention. These cognitive and…
Descriptors: Predictor Variables, School Holding Power, College Freshmen, Student College Relationship
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Slim, Ahmad; Hush, Don; Ojah, Tushar; Babbitt, Terry – International Educational Data Mining Society, 2018
Colleges are increasingly interested in identifying the factors that maximize their enrollment. These factors allow enrollment management administrators to identify the applicants who have higher tendency to enroll at their institutions and accordingly to better allocate their money rewards (i.e., scholarship and financial aid). In this paper we…
Descriptors: Enrollment Trends, College Students, Student Characteristics, Institutional Characteristics
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Barbera, Salvatore A.; Berkshire, Steven David; Boronat, Consuelo B.; Kennedy, Michael H. – Journal of College Student Retention: Research, Theory & Practice, 2020
A plethora of research spanning several decades has attempted to understand predictors of retention and graduation in undergraduate bachelor's degree programs. The topic is no less important today, as larger and larger swaths of the American population attend college each year. Studies have demonstrated that key demographic variables, indicators…
Descriptors: Undergraduate Students, Academic Persistence, Bachelors Degrees, Readiness
King, David R.; Ndum, Edwin – ACT, Inc., 2017
We examined the validity of 10 psychosocial factors for predicting retention status (stay, transfer, or drop out) at the start of second year of college by fitting a mixed-effects multinomial logistic regression model. Data consisted of retention records of 9,364 students from 31 four-year institutions. Predictors included commonly used variables…
Descriptors: Psychological Patterns, Social Influences, Predictor Variables, Undergraduate Students
Wai, Jonathan; Allen, Jeff – Gifted Child Quarterly, 2019
We examined 482,418 students who took the ACT in the seventh grade and again in high school, taking an exploratory analytic approach to examine academic growth trends from 1996 to 2017. Predictors included sociodemographics, interests, high school (HS) characteristics, HS coursework and GPA, and extracurriculars, which explained 25% of the…
Descriptors: Talent Development, Predictor Variables, Achievement Gains, Secondary School Students
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