Transfer Support and Student Outcomes Correlations among URM and Non-URM Computing and Engineering Students
Authors: 
Danyelle Tauryce Ireland, Amanda Menier, Rebecca Zarch, Jordan EsiasonAuthors Info & Claims
Danyelle Tauryce Ireland, Amanda Menier, Rebecca Zarch, Jordan EsiasonAuthors Info & ClaimsPage 1092
Abstract
Many university computing and engineering departments rely on transfer student enrollment from community colleges, but these students often face unique barriers to academic and social integration. These challenges can be compounded for students from underrepresented racial backgrounds. Using institutional and survey data, correlations among social and academic factors were calculated to measure the impact of a Post Transfer Pathways program on GPA and persistence. While findings indicate that participation has significant positive impacts, URM students may be more vulnerable to disruptions in social and academic factors than non-URM students.
References
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National Science Board. 2018. Science and Engineering Indicators 2018. Technical Report NSB 2018--1. Alexandria VA: National Science Foundation.
[2]
Frankie Sotos Laanan, Soko S Starobin, and Latrice E Eggleston. 2010. Adjustment of community college students at a four-year university: Role and relevance of transfer student capital for student retention. Journal of College Student Retention: Research, Theory & Practice 12, 2 (2010), 175--209
[3]
Susan M Lord, Richard A Layton, and Matthew W Ohland. 2011. Trajectories of electrical engineering and computer engineering students by race and gender. IEEE Transactions on Education 54, 4 (2011), 610--618.
[4]
Barbara K Townsend and Kristin Wilson. 2006. "A hand hold for a little bit": Factors facilitating the success of community college transfer students to a large research university. Journal of College Student Development 47, 4 (2006), 439--456
Index Terms
- Transfer Support and Student Outcomes Correlations among URM and Non-URM Computing and Engineering Students
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Published In
March 2022
254 pages
ISBN:9781450390712
DOI:10.1145/3478432
- General Chairs:
- Larry Merkle,
- Maureen Doyle,
- Program Chairs:
- Judithe Sheard,
- Leen-Kiat Soh,
- Brian Dorn
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Published: 03 March 2022
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- National Science Foundation
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SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education
March 3 - 5, 2022
RI, Providence, USA
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