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Record W2755174939 · doi:10.5539/ijef.v9n10p200

The Compatibility of the Services Provided to Students of Accounting Departments in Jordanian Private Universities with the Standards of Academic Quality Assurance in Jordan - A Field Study

2017· article· en· W2755174939 on OpenAlexvenueno aff
Ali A. Alzoubi, Jamal Hassan AL Afeef, Yasser I. Momani, Khaled M. Aldiabat

Bibliographic record

VenueInternational Journal of Economics and Finance · 2017
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsQuality assuranceAccountingMedical educationCompatibility (geochemistry)PsychologyBusinessMedicineMarketingEngineeringService (business)

Abstract

fetched live from OpenAlex

The study aimed to determine the compatibility of the student services provided to the students of accounting departments in business schools with the standards of academic quality assurance in Jordan through three aspects: academic guidance, support services and graduates services. A questionnaire was prepared and distributed to (245) students and (46) faculty members. The responses of the study sample were described by using the arithmetic mean, frequencies and ANOVA test that was used to test the hypotheses at the level of significance ( 0.05=α).One of the main findings of the study is that there is no agreement between students and faculty members in accounting departments on the compatibility of the services provided to the students with the standards of Jordanian academic quality assurance, despite the existence of some quality services offered by faculties and departments to students. The study recommends a comprehensive review of the services provided to students, a focus on services provided to graduates, and further studies.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.006
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.012
GPT teacher head0.294
Teacher spread0.282 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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