The Scientific Research Pressure and Teaching Input of MBA Instructors: Context Analysis of Accounting Course
Bibliographic record
Abstract
This study investigates the level of scientific research pressure, professional qualifications, and teaching input of MBA instructors on the outcomes of the level of course satisfaction. We conducted a survey of MBA students in an accounting course at four China key colleges and universities. The latent variables are developed to capture relevance pressure factors that affect the students’ satisfaction. The results will be useful for MBA management to adjust the assessment and incentive program. Key words: Scientific research pressure; Teaching input; MBA Resume: Les etudes enquetent sur le niveau de la pression de la recherche scientifique, le niveau des qualifications professionnelles, et l'entree de l'enseignement des instructeurs MBA sur les resultats au niveau de la satisfaction des cours. Nous conduisons un enquete des etudiants de MBA dans les cours de comptabilite dans les quatre universites et colleges cles en Chine. Les variables latentes sont developpees pour obtenir les pertinences de facteurs de pression qui ont une incidence sur la satisfaction des etudiants. Les resultats seront utiles pour le management de MBA pour ajuster les evaluations et stimuler les programmes. dans le systeme de credit Chinois. Mots-cles: Caracteristiques; Societe de petits prets; Marche du credit chinois
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".