ERIC Number: EJ1046861
Record Type: Journal
Publication Date: 2015-Jan
Abstractor: As Provided
Reference Count: 78
The Representation of Minority, Female, and Non-Traditional Stem Majors in the Online Environment at Community Colleges: A Nationally Representative Study
Wladis, Claire; Hachey, Alyse C.; Conway, Katherine M.
Community College Review, v43 n1 p89-114 Jan 2015
Using data from more than 2,000 community college science, technology, engineering, and mathematics (STEM) majors in the National Postsecondary Student Aid Study, this research investigates how ethnicity, gender, non-traditional student risk factors, academic preparation, socio-economic status, and English-as-second-language/citizenship status relate to online course enrollment patterns. Even after controlling for other factors, Blacks and Hispanics (Black and Hispanic men, in particular) were significantly underrepresented in online courses, women were significantly overrepresented, and students with non-traditional student risk factors (delayed enrollment, no high school diploma, part-time enrollment, financially independent, have dependents, single-parent status, and working full-time) were significantly more likely to enroll online. However, although ethnicity, gender, and non-traditional factors were all important predictors for both 2- and 4-year STEM majors, at community colleges, ethnicity and gender were more important predictors of online enrollment than non-traditional characteristics, which is the opposite pattern observed at 4-year colleges.
Descriptors: Community Colleges, Electronic Learning, Online Courses, Enrollment Rate, STEM Education, National Surveys, Minority Group Students, Females, Nontraditional Students, Two Year College Students, Risk, College Preparation, Socioeconomic Status, English (Second Language), Citizenship, African American Students, Hispanic American Students, Disproportionate Representation, Gender Differences, Ethnicity, Access to Education, College Role, Student Characteristics, Measures (Individuals), Prediction, Regression (Statistics), Models, Multivariate Analysis
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: email@example.com; Web site: http://sagepub.com
Publication Type: Journal Articles; Reports - Research
Education Level: Two Year Colleges; Higher Education; Postsecondary Education; Secondary Education
Sponsor: National Science Foundation
Authoring Institution: N/A
IES Grant or Contract Numbers: DRL-0941014