Enhancing online <scp>MBA</scp> programmes: Student perceptions and key factors in programme design and delivery
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The demand for online business education continues to grow, driven by the need for innovative and adaptable learning pathways to attain an MBA. This study investigates student perceptions across three predominantly online MBA programmes at Imperial College in England, ESMT in Germany and Ivey Business School in Canada, aiming to delineate the strengths and weaknesses of online learning, identify pivotal elements influencing student satisfaction and elucidate the role of self‐efficacy in shaping overall programme effectiveness. Our findings underscore the critical significance of faculty engagement, programme flexibility and meaningful peer interactions in enhancing the online MBA experience. Moreover, this study provides actionable insights for programme design, curriculum development and the strategic utilisation of learning technology, offering valuable guidance for business schools seeking to address the escalating demand for online business education.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it