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Record W4226367796 · doi:10.5430/ijhe.v11n2p192

Critical Success Factors Identified within Moroccan Public Higher Education Institutions

2022· article· en· W4226367796 on OpenAlexvenueno aff
Jingyi Cheng, Shunhang Li, Zineb Draissi, QI Zhan-yong

Bibliographic record

VenueInternational Journal of Higher Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsHigher educationCritical success factorContext (archaeology)Variety (cybernetics)Public institutionQuality (philosophy)InstitutionPublic relationsTotal quality managementQualitative researchPolitical scienceBusinessSociologyMarketingGeographySocial science

Abstract

fetched live from OpenAlex

Total Quality Management is a concept which any educational institution can attain through a variety of critical success factors. This concept is one of the steps necessary to maximize success in improving quality in higher education institutions. Hence, this qualitative study used a semi-structured interview, endeavors to identify and analyze some of the critical success factors which have significant impact in Moroccan public higher education institutions under the framework of Total Quality Management. As a result of in-depth semi-structured interviews with three experienced university professors in selected public universities in the economical capital city of Morocco, this study is contributing to the literature by empirically determining the critical success factors of the TQM mostly needed in the public higher education institutions. The findings of this study bring an understanding of how certain critical factors are perceived in the Moroccan public higher education context. In addition to expand the body of the current literature, the study findings also provide knowledge that can be used as a basis to address the management needs of quality in higher education institutions. In addition, this study is the first of its kind to be addressed in the Moroccan setting / North African region.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.052
GPT teacher head0.411
Teacher spread0.359 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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