MétaCan
Menu
Back to cohort
Record W3003846868 · doi:10.5539/mas.v14n2p57

The Impact of Perceived Organizational Support on the Quality of Educational Services at Arab Universities

2020· article· en· W3003846868 on OpenAlexvenueno aff
Muhammad Falah Ali Al-Khawaldeh, Khalid bin Madhi Muhammad Hakami

Bibliographic record

VenueModern Applied Science · 2020
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsQuality (philosophy)ReputationSample (material)BusinessIslamPublic relationsMarketingMedical educationPsychologyPolitical scienceMedicineGeography

Abstract

fetched live from OpenAlex

The current study explored the impact of perceived organizational support on the quality of educational services at Arab universities. The descriptive analytical approach was used with a total sample consisting of 215 participants, from Jizan University, and participants from the International Islamic Sciences University. The results of the study showed that the level of both the perceived organizational support and the quality of educational services in universities, the study sample was medium. The results also showed a significant impact of the perceived organizational support on the quality of educational services at Arab universities. In addition to that, there are significant differences at the level of (α ≤ 0,05) in the quality of educational services level (quality of academic and administrative services, and the quality of facilities and equipment and quality of reputation) at Arab universities that can be attributed to (gender). And no significant differences at the level of (α ≤ 0,05) in the quality of educational services level (Quality of academic services, quality of administrative services, quality of facilities and equipment and quality of reputation) at Arab universities, that can be attributed (to experience and work nature). The study recommended the necessity of raising the level of perceived organizational support and raising the quality of educational services at Arab universities.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueModern Applied ScienceSame topicOrganizational and Employee PerformanceFrench-language works237,207