Case Study, Simulation and Management Games: Use, Benefits and Barriers in Undergraduate Business School Program (CEAS-IMSIU)
Bibliographic record
Abstract
This research focused on three main teaching methods: case study, simulation, and management games from both theoretical as well as empirical aspects. It explores the use, the benefits, and the barriers of the mentioned teaching methods related to the main management courses from Faculty Members (FMs) perspectives. The empirical investigation was based on a survey of all business departments' faculty members. This study revealed (1) the predominant use of lecturing despite the respondents' engagement in case study, simulation, and management games. It showed that (2) the frequency use of these teaching supports was particularly related to some courses, not systematically, and depended on the faculty member (rank, experience, place of degree). Finally, (3) the main barriers preventing the FMs from using these teaching methods are associated with resources, more than risk and suitability.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".