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ERIC Number: EJ1115990
Record Type: Journal
Publication Date: 2016-Aug
Pages: 26
Abstractor: As Provided
ISSN: ISSN-0361-0365
Course-Taking Patterns of Community College Students Beginning in STEM: Using Data Mining Techniques to Reveal Viable STEM Transfer Pathways
Wang, Xueli
Research in Higher Education, v57 n5 p544-569 Aug 2016
This research focuses on course-taking patterns of beginning community college students enrolled in one or more non-remedial science, technology, engineering, and mathematics (STEM) courses during their first year of college, and how these patterns are mapped against upward transfer in STEM fields of study. Drawing upon postsecondary transcript data, collected as part of the Beginning Postsecondary Students Longitudinal Study (BPS:04/09), this study takes advantage of data mining techniques that, although underutilized in higher education research, are powerful and appropriate analytical tools for investigating complex transcript data. Thus, focusing on a pivotal yet extremely understudied topic dealing with postsecondary STEM education and pathways, this study offers new insight into course and program features that contribute to efficient and effective academic STEM pathways for community college students.
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Publication Type: Journal Articles; Reports - Research
Education Level: Two Year Colleges; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A