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Record W4412638497 · doi:10.1002/berj.4215

Enhancing online <scp>MBA</scp> programmes: Student perceptions and key factors in programme design and delivery

2025· article· en· W4412638497 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBritish Educational Research Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsIvey Foundation
Fundersnot available
KeywordsKey (lock)PsychologyMathematics educationPedagogyMedical educationSociologyComputer scienceMedicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.083
GPT teacher head0.438
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it