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Record W2956068109 · doi:10.5539/ies.v12n7p106

The Degree of Principals’ Practice of Leadership Skills from the Perspective of UNRWA School Teachers

2019· article· en· W2956068109 on OpenAlexvenueno aff
Bassam O. Ghanem, Ferial M. Abu Awwad

Bibliographic record

VenueInternational Education Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySocial skillsSample (material)Skills managementMedical educationValidityMathematics educationPedagogyDevelopmental psychologyPsychometricsMedicine

Abstract

fetched live from OpenAlex

The goal of this study is to determine the degree of leadership skills practiced by principals at UNRWA schools. In order to achieve this goal a questionnaire consisting of 56 items was developed, which included two domains: Administrative and Technical skills, and personal and social skills. This questionnaire had been verified in terms of its validity and reliability. The study sample consisted of 400 male and female teachers, distributed according to gender into 185 male and 215 females from UNRWA schools. The main results of the study revealed that the mean score on the administrative and technical skills was 126.63 with a percentage of 77% and on the personal and social skills 77.3 with a percentage of 67%. However, the mean score of the total score was 203.93 with a percentage of 73% which means that the degree of principals’ practice of leadership skills was in average. Also, the results showed that there were statistically significant differences between the mean scores of the sample on the administrative and technical skills due to gender variable in favor of females. The study ended with some recommendations relating to enhance the principal’s skills in general and for male principals specifically.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.144
GPT teacher head0.456
Teacher spread0.312 · 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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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