From Classroom to Boardroom: How International Marketing Students Earn Their Way to Experiential Learning Opportunities, and the Case of the "Beyond Borders of a Classroom" Program
Bibliographic record
Abstract
Many marketing instructors recognize the challenge of conveying to students the realities of international marketing within the classroom. In 2004, a faculty of business designed a partnership between stakeholders known as "Beyond Borders of a Classroom." This program offers a unique experiential learning opportunity for undergraduate students majoring in marketing. The program is comprised of two successive semesters. Semester 1 is a fusion of a live case competition and a client-based project. Semester 2 is an exclusive, applied overseas internship experience. At the end of semester 1, a group of students selected by a panel of practitioners and academics is offered an opportunity to travel to the specified country in semester 2 and to apply the theories learned beforehand. All expenses are paid for by the program. Only students who win the competition in semester 1 move to the advanced international marketing class in semester 2. The program has sent students to the United States, China, Australia, and Ukraine. Student satisfaction is high, but the program faces some challenges. Some recommendations are presented.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".