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Record W2541396934 · doi:10.5539/ies.v9n11p181

The Qualitative Analysis of Turkish Adult Education System in Terms of Management Processes

2016· article· en· W2541396934 on OpenAlexvenueno aff
Bertan Akyol

Bibliographic record

VenueInternational Education Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Education, and Development Issues
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)TurkishQualitative researchLifelong learningAffectionPsychologyPublic relationsClass (philosophy)PedagogyMedical educationSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

<p class="apa">The aim of this study is to analyze the views of the administrators of public education centers in Turkey for the programs carried in their institutions in frame of the management processes which are decision-making, planning, organization, communication, coordination, affection and evaluation. For this purpose, 17 public education center administrators were interviewed. The responses that were taken have revealed that decisions are made by taking into account the needs of the trainees, the standards determined by Lifelong Learning General Directorate and the demands related to educational programs; planning is done according to reports of the commission and in frame of the criterions; for organization process, administrators fulfill all the essentials of organization process; in communication process, the administrators declare to take into consideration of the whole shareholders; for coordination process, the administrators declare that the centers experience problems especially about classrooms, trainers and material perform coordination activities in order to be able to meet these necessities; administrators use motivation techniques for both the trainees and the trainers; and lastly the administrators state that they use process evaluation and evaluate the trainees both during and at the end of the programs.</p>

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.062
GPT teacher head0.479
Teacher spread0.417 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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