The Effectiveness of an Online MBA Program in Meeting Mid-Career Student Expectations
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
Advances in teaching technologies have made online MBA programs more accessible to midcareer learners; precisely those who many suggest should be targeted. Previous research on the value of the MBA has focused on various student motivations, but not specifically on the experiences of North American mid-career learners. This study reports the results of a survey which asked online MBA students about expected career outcomes, why they had chosen the online format, and what skills they expected to acquire. A better understanding of the expectations of mid-career learners enrolled in online MBA studies may assist program designers in developing meaningful curriculum, and lead to improved pedagogies. Acknowledgment: The authors would like to acknowledge Joy McPherson whose assistance with questionnaire design, data collection and project management was invaluable.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it