THE BENEFITS OF SUMMER BRIDGE PROGRAMS FOR UNDERREPRESENTED AND LOW‐INCOME TRANSFER STUDENTS
Abstract
University summer bridge programs or transitional programs for low‐income and minority transfer students are becoming an established part of the effort to recruit, retain, and graduate a population of students underrepresented in higher education. The purpose of this study was to determine the effects of a summer bridge program on the academic, personal, and social development of underrepresented and low‐income transfer students during their first year at the University of California, Los Angeles (UCLA). The 1988 entering cohort of Transfer Summer Program (TSP) students was tracked through their first two quarters at UCLA, collecting both attitudinal and academic data. The results of the study clearly suggest that summer bridge programs for underrepresented and low‐income students can help facilitate their transition and adjustment to university life and improve their academic performance and persistence rates. This is accomplished by increasing transfer students' control over their academic future by preparing them to effectively participate in a classroom, to assess their academic abilities, and by introducing them to campus services and encouraging the utilization of these services.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
High-impact practices and early interventions, such as summer bridge programs, academic advising and peer tutoring, and learning communities, are effective in helping students persist in STEM.
“Moreover, our findings support previous research showing that HIPs and early interventions, such as summer bridge programs (Ackermann, 1991;Maples, 2003;Myers & Drevlow, 1982;Walpole et al., 2008), academic advising and peer tutoring (Abrams & Jernigan, 1984;Kulik et al., 1983), and learning communities (Baker & Pomerantz, 2001;Inkelas et al., 2007;Inkelas & Weisman, 2003;Knight, 2003;Pasque & Mur”
From The Importance of STEM Sense of Belonging and Academic Hope in Enhancing Persistence for Low-Income, Underrepresented STEM Students (2024) · cites this paper as Ackermann, 1991
Cited by
Sorted by citations
Lonn, S., Aguilar, S. J., & Teasley, S. D. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.07.013 · Cited by 152 · see citing works
Hansen, M. J., Palakal, M. J., & White, L. (2024) · Journal for STEM Education Research · doi:10.1007/s41979-023-00096-8 · Cited by 138 · see citing works
- Authors
- Ackermann, S. P.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Ackermann, Susan P.
- Venue
- Community Junior College Research Quarterly of Research and Practice
- Publisher
- Informa UK Limited
- Published
- 1991-04
- Volume
- 15
- Issue
- 2
- Pages
- 211-224
- ISSN
- 0277-6774 (ISSN-L)
- OpenAlex
- W2020477193
- Cited by
- 57
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 4 · 2021: 1 · 2020: 4 · 2019: 1 · 2018: 5 · 2017: 5 · 2016: 5 · 2015: 5 · 2014: 3 · 2013: 3 · 2012: 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Community Junior College Research Quarterly of Research and Practice (publishedVersion)
- Topics
- Social Sciences › Education › Higher Education Research Studies
- Social Sciences › Education › Education and Military Integration
- Social Sciences › Safety Research › Career Development and Diversity
- Keywords
- summer bridge programs, transfer students, underrepresented students, low-income students, academic persistence, academic performance, transition to college, student adaptation, University of California, Los Angeles
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review