Teaching Sociology Through Community-Engaged Learning with a Multinational Student Body: Garnering Sociological Insights from Lived Experiences Across National Contexts
Bibliographic record
Abstract
Community-engaged learning (CEL) is a popular educational approach for sociology teaching across Canada and globally. Students in sociology courses with this experiential component can opt in to enhance their learning by working with community members and organizations in structured, low-stakes ways that forward community priorities. Evidence shows that CEL in sociology courses supports students in developing a wide variety of skills. However, little is known about how international students in sociology courses engage with this pedagogy. Drawing on 20 semi-structured interviews with international students from Asia, South America, and Eastern Europe who completed CEL programming as part of their sociology course curriculum at a large Canadian university, I show how these students engaged in unique learning practices. The findings indicate that international students draw upon their life experiences from diverse national contexts to navigate and reflect upon their CEL placement in sociological ways. These students’ voices offer rich insights for sociology educators designing course-based CEL opportunities with a multinational student body.
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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 | 0.027 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.059 | 0.018 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".