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Record W3107054645 · doi:10.5430/jct.v9n4p10

Reviewing, Revising, and Reinventing the Undergraduate Marketing Curriculum at a Public University

2020· article· en· W3107054645 on OpenAlexvenueno aff
Cathy J. Cobb‐Walgren, Hiram C. Barksdale, James S. Boles

Bibliographic record

VenueJournal of Curriculum and Teaching · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumWorkforcePresentation (obstetrics)Public relationsCompetition (biology)Undergraduate researchRelevance (law)Social marketingPolitical scienceSociologyMarketingMedical educationEngineering ethicsPedagogyEngineeringBusinessMedicine

Abstract

fetched live from OpenAlex

The business community faces tremendous challenges in the 21st century and needs an educated workforce that can navigate the realities of empowered customers, new scientific and media technologies, growing environmental and social concerns, and global competition. Unfortunately, undergraduate business education, for the most part, continues to rely on 20th century theories and practices. Undergraduate marketing education, in particular, seems to have stagnated and continues to fall short on both relevance and rigor. This article presents the results of a two-year departmental initiative to review, revise, and reinvent the undergraduate marketing curriculum at a large public research university’s business school. After analyzing the internal and external forces that were the impetus for change, the article presents the process the marketing department used to reform the undergraduate program. Next, the articles discusses the results of six data collection projects among key constituency groups that revealed weaknesses in the undergraduate program and potential areas for improvement. The article concludes with the presentation of a transformed undergraduate marketing curriculum, along with initial assessment feedback. By engaging in continuous evaluation and improvement, the marketing faculty hope to provide undergraduate marketing students with a more rigorous and relevant academic experience that will enable them to succeed in the professional workforce of the 21st century.

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.

How this classification was reachedexpand

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.018
GPT teacher head0.216
Teacher spread0.198 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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