283
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Assessing Student Outcomes in Communication-Intensive Learning Communities: A Two-Year Longitudinal Study of Academic Performance and Retention

&
Pages 285-302 | Published online: 02 Aug 2007
 

Abstract

Learning communities (LCs) have received considerable attention for their potential to increase retention and academic performance among first-year college students, but questions remain as to whether they facilitate student success and why. As operationalized in the current study, improved communication processes and team-based instruction are central LC design features. One and two years after participating in communication-intensive learning communities, students showed modest but statistically significant advantages in GPA, retention, and credit completion. Survey results confirmed that students and faculty assigned to the learning community conditions perceived more opportunities to communicate with colleagues, instructors, and instructional support staff. The results suggest that the learning community design created such communicative advantages as increased opportunities for interaction among faculty, staff, and peers; enhanced feelings of social integration; and increased access to student services.

Notes

Notes. Numbers in parentheses are standard deviations. Asterisks indicate significant differences across all three groups, p < .05, Groups with different letters are significantly different in follow-up tests.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 130.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.