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Sanchez, Edgar I. – ACT, Inc., 2022
The Official ACT® Self-Paced Course, Powered by Kaplan® is a test preparation solution in partnership between Kaplan and ACT. In April of 2022, the authors surveyed users of the self-paced course who took the ACT test between August 2020 and February 2022 to better understand: (1) ways the solution helped them when they took the ACT; (2) what…
Descriptors: Student Attitudes, Test Preparation, Independent Study, College Entrance Examinations
Edgar I. Sanchez – ACT Education Corp., 2024
This study offers a novel approach to evaluating the predictors of first-year grade point average (FYGPA) in college by using multiple imputation and dominance analysis to compare high school GPA (HSGPA), ACT® test score, and demographic factors. Unlike previous research that typically relied on single regression models, this study reveals more…
Descriptors: High School Students, Predictor Variables, Grade Point Average, Academic Achievement
Lesley N. Sisaket – Minnesota Office of Higher Education, 2023
Post-secondary education enrollment and completion disparities exist for Minnesota's Black, Indigenous, and Persons of Color (BIPOC) and lower-income students. One outcome measure demonstrating the impact of system-fed disparities in K-12 education is a student's level of readiness for college-level courses following high school graduation. Given…
Descriptors: High School Graduates, College Students, College Readiness, Public Schools
Kuo, Yi-Lung; Casillas, Alex; Allen, Jeff; Robbins, Steve – Journal of Educational Psychology, 2021
The moderating effects of motivation, social control, and self-regulation in predicting academic achievement were examined in Grades 11-12 for 3,281 seventh through nine graders. Standardized assessments of college readiness and student self-reported measures of psychosocial factors were used in the study. The results showed that females in Grades…
Descriptors: Academic Achievement, Achievement Gains, Metacognition, Prediction
Sanchez, Edgar I.; Moore, Raeal – ACT, Inc., 2022
This study employs hierarchal linear modeling to examine whether high school grade inflation occurred between 2010 and 2021, including for students who were tested during the pandemic. The study does so while simultaneously accounting for student and school characteristics. This is the first study, to the current authors' knowledge, that makes use…
Descriptors: Grade Inflation, Institutional Characteristics, Pandemics, COVID-19
Radasanu, Andrea; Barker, Gregory – Honors in Practice, 2021
While there is scant evidence that standardized test results (SAT/ACT) predict college success, these scores can act as barriers to college admissions and honors programs, particularly for students in underserved communities. This study examines the impact of transitioning from an honors admission framework--in which standardized tests are a key…
Descriptors: College Admission, Admission Criteria, Inclusion, Honors Curriculum
Negrete, Andrea; Griffith, Aisha N.; Hurd, Noelle M. – Mentoring & Tutoring: Partnership in Learning, 2018
The current study examined characteristics of natural mentoring relationships (NMRs; i.e. mentoring relationships that develop organically with adults in one's pre-existing social network) among underrepresented college students as contributors to NMR retention across the first year of college. The sample consisted of 209 underrepresented college…
Descriptors: Mentors, Interpersonal Relationship, College Freshmen, Disproportionate Representation
Rogness, Steve; Fergus, Meredith; Krager, Sally – Minnesota Office of Higher Education, 2022
"Getting Prepared 2020" examines patterns of developmental education for Minnesota public high school graduates from the classes of 2012 to 2019 who enrolled in Minnesota postsecondary institutions. This report provides insight into the academic readiness of Minnesota public high school graduates. Developmental education adds to the…
Descriptors: Developmental Studies Programs, Course Selection (Students), High School Graduates, College Readiness
Westrick, Paul; Radunzel, Justine; Bassiri, Dina – ACT, Inc., 2018
This study examined the value of using measures of academic "tilt" and vocational interest "tilt" to predict whether students will declare a STEM major during their first term in college. Academic tilt looks at students' relative academic strengths by appropriately comparing their math and science achievement levels to their…
Descriptors: STEM Education, Student Interests, Majors (Students), College Freshmen
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
ACT, Inc., 2019
The inaugural "Higher Education Research Digest" was released in 2017 (see ED581669) along with the "Enrollment Management Database," a tool assisting enrollment managers, admissions personnel, and other college administrators with student recruitment, enrollment, and success strategies. For this third edition of the Digest,…
Descriptors: Higher Education, Enrollment Management, Student Recruitment, Databases
Rogness, Steve; Fergus, Meredith – Minnesota Office of Higher Education, 2020
"Getting Prepared 2019" examines Minnesota public high school graduates from the classes of 2011-2018 who enrolled in postsecondary education and those enrolled in developmental education. This report provides insight into the academic readiness of Minnesota public high school graduates. Developmental education adds to the overall cost…
Descriptors: High School Graduates, Developmental Studies Programs, College Readiness, Enrollment
Yu, Hongwei – Journal of College Student Retention: Research, Theory & Practice, 2017
Student retention has garnered increased attentions in higher education. Drawing from various theoretical perspectives, researchers have developed multiple theoretical models to explain or predict student retention. Most models, however, were intended for traditional aged, full-time students at 4-year colleges or universities. The rapid growth of…
Descriptors: Two Year College Students, Community Colleges, Academic Achievement, Academic Persistence
de Brey, Cristobal; Snyder, Thomas D.; Zhang, Anlan; Dillow, Sally A. – National Center for Education Statistics, 2021
The 2019 edition of the "Digest of Education Statistics" is the 55th in a series of publications initiated in 1962. The purpose of the "Digest" is to provide a compilation of statistical information covering the broad field of American education from prekindergarten through graduate school. It contains data on a variety of…
Descriptors: Elementary Secondary Education, Postsecondary Education, Federal Aid, Educational Finance
Nielson, Perpetua Lynne; Bean, Nathan William Bean; Larsen, Ross Allen Andrew – Statistics Education Research Journal, 2018
We examine the impact of a flipped classroom model of learning on student performance and satisfaction in a large undergraduate introductory statistics class. Two professors each taught a lecture-section and a flipped-class section. Using MANCOVA, a linear combination of final exam scores, average quiz scores, and course ratings was compared for…
Descriptors: Educational Technology, Technology Uses in Education, Homework, Video Technology