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Record W2126130552 · doi:10.1002/cjas.1239

Taking Stock of the Century‐long Utilization of the Case Method in Management Education

2013· article· en· W2126130552 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsExperiential learningVariety (cybernetics)Stock (firearms)Case teachingValue (mathematics)Computer scienceManagement scienceEpistemologyKnowledge managementMathematics educationSociologyTeaching methodPsychologyArtificial intelligenceEngineeringMachine learningPhilosophy

Abstract

fetched live from OpenAlex

Abstract Over the last century, the case method has been a key teaching tool in management education. This article takes stock of the main characteristics of the case method, clarifies its learning goals, and exposes the relationships between these goals and supporting learning theories, in particular active‐learning theory and experiential learning. It then examines the multiple variations of the case method that have developed over the years and discusses arguments against the case method. Finally, four proposals are made in view of strengthening the case method's value: extend case variety, moderate the case method's ambition to foster experiential learning, conduct empirical research about the case method's learning impacts, and emphasize the close relationship between case research and case teaching. Copyright © 2013 ASAC. Published by John Wiley & Sons, Ltd.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.098
GPT teacher head0.337
Teacher spread0.238 · 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