Student Trade Missions: An Experiential Learning Opportunity
Bibliographic record
Abstract
In response to the criticisms addressed to business schools, teaching formulas that foster experiential learning are increasingly being put forward. The Missions Commerciales de l’Université Laval (MCUL- Université Laval Trade Missions) is a training program designed to foster experiential learning. This program extends over an entire academic year in which students are required to find and fulfill an international development mandate on behalf of a business. The objective of this study is to investigate the extent to which participation in such a business consulting project enables students to acquire new skills and modify certain attitudes. Our results show that student participation in an international trade mission has a considerable impact on the acquisition of professional skills and competencies, as well as the development of personality traits and attitudes. Through this experience, students build confidence, develop a sense of initiative and learn to identify business opportunities and adapt quickly. It allows them to sharpen their sales skills and techniques while learning to represent a business. Having completed a trade mission also appears to improve student employability.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".