Cultivating a Sense of Community: International Students Navigating Community Engaged Learning Opportunities in Line with Their Social Goals
Bibliographic record
Abstract
International students often envision their time studying abroad with particular academic, professional, social, linguistic, and identity-related goals in mind (Fong, 2011; Jones, 2013; Montgomery & McDowell, 2009; Page, 2019; Page & Chahboun, 2019). Post-secondary institutions can provide resources and opportunities to help this heterogeneous group of students bring their vision into fruition. One such opportunity is community engaged learning (CEL), which has been shown to help students expand their social and academic abilities as they make contributions to an organization (Arnold, 2019; Greenberg, London & McKay, 2020; Mayer et al., 2019). Through in-depth interviews with 25 new international students who participated in optional course-based CEL programming at a large Canadian research university, we document the ways participants interpreted and navigated this experience in line with their social goals. We show how students’ CEL meaning-making processes align with McMillan and Chavis’ (1986) four dimensions of a perceived sense of community: membership, influence, fulfillment of needs, and shared emotional connection. We conclude with recommendations for educators designing socially-oriented CEL opportunities with new international students.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".