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Record W2607461212 · doi:10.5539/ass.v13n5p76

Investigate the Role of Educational Leadership in Human Resources Development of Jordanian University

2017· article· en· W2607461212 on OpenAlexvenueno aff
Qasem Ali Qasem Saeed, Jafer Ahmad Odeh Al Slahen

Bibliographic record

VenueAsian Social Science · 2017
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsHuman resourcesLeadership stylePsychologySample (material)Order (exchange)PopulationEducational leadershipMedical educationKnowledge managementSociologyPolitical sciencePedagogySocial psychologyBusinessMedicineComputer science

Abstract

fetched live from OpenAlex

The study aim to examine the impact of educational leadership on human resources development of Jordanian university. The study is an analysis descriptive research and the methods will be use survey in order to collect information needed for get the results. The population of the study includes all Jordanian universities. The sample of the study will includes (200) professors working in governmental universities located in Amman city. The study results indicated that there are positive attitudes towards educational leadership, the study also indicated that there are positive attitudes towards variables: communication, learning, influence, confidence, and knowledge. The study results accept main hypotheses that states: There is a statistically significant impact of educational leadership on human resources development of Jordanian university. The study results also accept the first three sub hypothesis which related to the impact of (communication, learning, and influence) on human resources development of Jordanian university, but the study results reject the sub hypothesis which related to the impact of (confidence, and knowledge). The study recommended to identify best practices in leadership styles, for positive change at the university, and how to increase the absorption of the change points when their employees, and to support and provide all the resources that help educational leadership in order to achieve: communication, learning, influence, confidence, and knowledge.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.044
GPT teacher head0.247
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2017
Admission routes1
Has abstractyes

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