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Freshman Interest Groups and the First-Year Experience: Constructing Student Communities in a Large University

Tinto, Vincent, Goodsell, Anne·1994·Journal of The First-Year Experience & Students in Transition

Abstract

A qualitative case study of Freshman Interest Groups (FIGs) was carried out at a large, public, research university. The intent of the study was to understand how participation in a FIG influenced students' learning experiences, and how those experiences fit in with broader experiences as first-year students. Three one-week site visits were made; data collection consisted of participant observation in 12 classrooms and 43 interviews with 24 students. Three themes are reported here. First, FIGs allowed students to interact repeatedly with a consistent set of peers across their classes. This, in turn, enabled students to form a social network in which other academic support mechanisms could begin to operate. Finally, writing link classes enabled students to become engaged with their course content at the same time as they continued their social interactions. The balance of students' social engagement with their academic engagement demonstrates the potential of FIGs to influence students' first-year experience.

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Metadata

Authors
Tinto, V., & Goodsell, A.
Venue
Journal of The First-Year Experience & Students in Transition
Published
1994-01-01
Volume
6
Issue
1
Pages
7-28
ISSN
1542-3077
Cited by
10
References
0
Language
en

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CoChat. (2026). Citation check: Freshman Interest Groups and the First-Year Experience: Constructing Student Communities in a Large University. https://app.cochat.ai/papers/10.65005/154230794813696237
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Tinto, V., & Goodsell, A. (1994). Freshman Interest Groups and the First-Year Experience: Constructing Student Communities in a Large University. Journal of The First-Year Experience & Students in Transition. https://doi.org/10.65005/154230794813696237

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.