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Record W2593785096 · doi:10.5539/ies.v10n3p199

The Implementation and Results of the Academic Administration System in the Center for Education Quality Development Network under the Jurisdiction of the Office of the Basic Education Commission of Thailand

2017· article· en· W2593785096 on OpenAlexvenueno aff
Phumiphat Ruanglae, Chaiyuth Sirisuthi, Visoot Weangsamoot

Bibliographic record

VenueInternational Education Studies · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicResearch studies in Vietnam
Canadian institutionsnot available
Fundersnot available
KeywordsJurisdictionCommissionAdministration (probate law)Quality (philosophy)Medical educationQuality assuranceEngineering managementProcess managementBusinessPublic relationsPolitical scienceEngineeringMarketingMedicine

Abstract

fetched live from OpenAlex

This purpose of this study was twofold. The researcher aimed to investigate the implementation results of the academic administration system in the Center for Education Quality Development Network under the jurisdiction of the Office of the Basic Education Commission of Thailand and to design the Actions Research which can be effectively utilized in academic administration. The system involved 5 steps including: 1) investigating the current situation, problems and development needs; 2) creating development guidelines; 3) identifying success indicators; 4) identifying development procedures; and 5) reflecting performance. When the system had been implemented in the 6th Center for Education Quality Development Network with 16 schools in Nahaew district, it was found that the result of key success indicator assessment had the overall average at the moderate level. When each aspect being considered individually, it was found that the part with respect to students had most of the success indicators followed by the part pertaining to the internal quality assurance. The part with fewest success indicators was the participatory administration. Regarding the assessment of user’s satisfaction after the system implementation, it was rated, as a whole, at the high level.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.075
GPT teacher head0.461
Teacher spread0.387 · 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
Published2017
Admission routes1
Has abstractyes

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