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Record W2949384037 · doi:10.5539/jel.v8n4p1

Integrating Perceived Added Educational Value Business Administration Core Course Items into Scales and Their Relationships to Degree Program Satisfaction and Business School Reputation Influence

2019· article· en· W2949384037 on OpenAlex
Gary Blau

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Education and Learning · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsnot available
Fundersnot available
KeywordsReputationScale (ratio)StakeholderBachelorPsychologySample (material)Business educationCurriculumValue (mathematics)Higher educationCore (optical fiber)MarketingMedical educationPedagogyManagementSociologyBusinessMedicineMathematicsEngineeringPolitical scienceSocial scienceEconomics

Abstract

fetched live from OpenAlex

Prior research has not investigated perceived added education value in courses. Using a sample of 165 graduating business students, two business administration (BA) scales were created from six required BA core courses as part of students’ Bachelor of Business Administration (BBA) degree. Students were asked if each required course “added value to their education”. The two core scales (number of items) were labeled: BA Unique (4 items) and BA Generic (2 items). Analysis showed that the BA Unique scale had higher perceived added education value than the BA Generic scale. The BA Unique scale had stronger relationships to program degree satisfaction and Business School reputation than the BA Generic scale. These results supported the development of more unique required core courses based on business school stakeholder needs. Other schools should consider their stakeholders’ needs to see if more unique required core courses, beyond generic, are needed. Although only six of 21 required courses could be tested due to sample size limitations, these initial results suggest it is important to evaluate the perceived added education value of required courses in a curriculum. 

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)0.001
metaresearch head score (Gemma)0.003
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 score0.172
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
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 head0.021
GPT teacher head0.290
Teacher spread0.270 · 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