Does International Service-Learning Deliver? A Study with Control Groups of One University's Experience with Canada's Queen Elizabeth Scholars Internship Program
Bibliographic record
Abstract
This study assesses the extent to which a medium-term international service learning (ISL) project led by a Canadian university in partnership with sub-Saharan African universities achieves five objectives with respect to the interns: increasing local and global community engagement, activating leaders, developing global citizens, personal and professional growth, and enhancing Canadian and international networking. The study relies on 250 completed online surveys of alumni who graduated between 2012 and 2020. ISL alumni responses are controlled for BA-related maturation effects by comparison to alumni who did not participate in any International Educational Experiences (IEEs) and for selection bias by comparison to students who participated in other IEEs. The study finds that ISL promotes all five objectives, that it has net impacts vis-à-vis the BA alone for all objectives except leadership activation, and that it has net impacts vis-à-vis other forms of IEE with respect to community engagement activation, global knowledge, and development of problem-solving skills. Abstract in French Cette étude évalue dans quelle mesure un projet d'apprentissage par le service international (ISL) à moyen terme mené par une université Canadienne en partenariat avec des universités d'Afrique subsaharienne atteint cinq objectifs vis-à-vis des stagiare: accroître l'engagement communautaire local et mondial, activer les dirigeants, développer des citoyens du monde, croissance personnelle et professionnelle, et améliorer du réseautage canadien et international. L'étude s'appuie sur 250 sondages en ligne complétés auprès d'anciens élèves de 2012 à 2020. Les réponses des anciens élèves de l'ISL sont contrôlées pour les effets de maturation liés au BA par rapport aux anciens élèves qui n'ont participé à aucune expérience éducative internationale (IEE) et pour le biais de sélection par rapport aux étudiants qui ont participé à d'autres IEE. L'étude révèle que l'ISL promeut les cinq objectifs, qu'elle a des effets nets par rapport au BA seul pour tous les objectifs, à l'exception de l'activation qualités des dirigeants, et qu'elle semble avoir des effets nets par rapport aux autres formes d'IEE en ce qui concerne activation de l’engagement communautaire, aspects de la citoyenneté mondiale et développement de compétences en résolution de problèmes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".