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Direct linkHan, Cheon-woo; Farruggia, Susan P.; Solomon, Bonnie J. – Studies in Higher Education, 2022
High school students' academic preparation (e.g. high school GPA, ACT composite score, AP credits earned) predicts and helps explain their academic performance at college. However, the effects of noncognitive factors on college success is less clear. This study examined the effects of adding high school students' (N = 2279) self-efficacy,…
Descriptors: High School Students, Student Characteristics, Predictor Variables, College Students
Chen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)
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
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
Download full textKellner, Marlene F. – Journal for Leadership and Instruction, 2019
Currently, a school of nursing in the Northeastern United States is using the Test for Essential Academic Skills (TEAS) examination to help determine which applicants to accept into their nursing programs. To date, there are no statistically significant data to correlate the use of this exam with the selection of applicants who successfully enter…
Descriptors: Admission Criteria, Predictor Variables, Nursing Education, Nursing Students
Kellner, Marlene F. – ProQuest LLC, 2019
Currently, the same criteria are being used for admissions into nursing programs in one school of nursing in the Northeastern United States. To date there are no statistically significant data to correlate these criteria with successfully entering the nursing profession. Due to the nursing shortage, limited number of seats available in nursing…
Descriptors: Admission Criteria, Predictor Variables, Nursing Education, Nursing Students
Neigel, Alexis R.; Behairy, Saif; Szalma, James L. – Journal of Cognitive Education and Psychology, 2017
The need for cognition and motivation are related to performance in school and standardized tests. In this study, 422 students completed a battery of individual difference measures and reported their scores on the American College Testing (ACT) exam, Scholastic Aptitude Test (SAT), high school grade point average (GPA), major GPA, and overall…
Descriptors: Undergraduate Students, Student Motivation, Academic Achievement, Schemata (Cognition)
Baier, Stefanie T.; Markman, Barry S.; Pernice-Duca, Francesca M. – Journal of College Student Development, 2016
We surveyed 237 first-time college students to examine the extent to which social-cognitive factors--self-efficacy, perceptions of mentorship, high school GPA, ACT scores, first-semester college GPA, and demographic characteristics-- influence freshmen's intent to persist. Standard multiple regression and MANOVA were conducted to determine the…
Descriptors: Student Surveys, College Freshmen, Social Influences, Self Efficacy
Grier-Reed, Tabitha; Chahla, Rose – Journal of College Student Retention: Research, Theory & Practice, 2015
Career planning courses are one of the most effective ways to improve career development, and the benefits to career decision-making are well documented. The research base regarding whether career courses contribute to academic outcomes is less well-developed. Although recent findings suggest that career courses may improve retention in the first-…
Descriptors: Academic Persistence, Career Development, Career Education, Constructivism (Learning)
