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Record W2262630752 · doi:10.5430/ijhe.v5n1p276

İnstructional Leadership Behaviors of School Administrators on the İmplementation of Secondary School Curricula

2016· article· en· W2262630752 on OpenAlexvenueno aff
Hızır Zorlu, Ayla Arseven

Bibliographic record

VenueInternational Journal of Higher Education · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionPsychologyInstructional leadershipCurriculumSimple random sampleDescriptive statisticsMathematics educationTest (biology)Educational leadershipTeacher leadershipLeadership styleSample (material)Variance (accounting)Scale (ratio)Medical educationPedagogyMathematicsSocial psychologyStatisticsSociologyMedicine

Abstract

fetched live from OpenAlex

The aim of this study is to determine instructional leadership behaviors of secondary school administrators based on the perceptions of administrators and teachers. The study was carried out with 309 teachers and 68 school administrators working in 25 secondary schools in Turkey. The study was carried out with the descriptive survey research. The “Instructional Leadership Scale” was used in the study. “Simple random sampling” method was used in the sample selection. In the analysis of tha data; frequency, arithmetic mean, t-test, one way variance analysis and Dunnett’s T3 test statistics have been used. According to the results of the study, in all dimensions teachers’ perceptions of instructional leadership behaviors are lower compared to administrators’ perceptions. There is a significant difference between the administrators’ perceptions of their own level of instructional leadership and the teachers’ perceptions of administrators’ instructional leadership. While the teachers’ perceptions of school administrators’ instructional leadership do not vary in terms of gender, it exhibits variance in terms of length of service.

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)0.006
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.116
GPT teacher head0.370
Teacher spread0.254 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

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