A Case Study of Project-based English Learning Experience in a Simulated Business Context
Bibliographic record
Abstract
Simulation technique could be effective if it is cleverly manipulated and incorporated in a project-based learning context. This current study aims to explore students’ learning experience in a project-based simulated business context. The participants were 51 second and third year students who took Business English as an elective course at a private university in central Taiwan. In the project, the participants modeled an episode in a reality TV show, The Apprentice, and tried to plan their projects of selling beverages to the students on campus using English. The students were engaged in the whole process from initial project planning to the final oral report of presenting their selling strategies. The results from the participants’ questionnaire responses and interview data revealed that they felt the course was more motivating, interactive and practical than traditional business course. It is also suggested that this simulated business project provide students with opportunities for social interaction and a psychologically safe team environment to work collaboratively, which both contributed the development in synergistic knowledge.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".