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Record W4391064721 · doi:10.5539/jel.v13n2p55

Investigation of the Current Situations Desired Conditions, and Essential Requirements for Participation in the Quality Assurance Processes of Small Schools Under the Office of the Basic Education Commission

2024· article· en· W4391064721 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Education and Learning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsnot available
FundersMahasarakham University
KeywordsQuality assuranceCommissionQuality (philosophy)PsychologyMedical educationCorrectnessBest practiceSample (material)Process managementComputer scienceBusinessMedicinePolitical scienceMarketing

Abstract

fetched live from OpenAlex

The objective of this study is twofold: 1) To examine the current situations, desired conditions, and requirements for participation in quality assurance efforts of small schools under the Office of the Basic Education Commission. 2) To explore developmental guidelines for enhancing the quality assurance practices of these educational institutions. The research methodology involved: 1) surveying to assess the current situations, desired conditions, and essential requirements; and 2) investigating development guidelines embedded in the working processes of three schools with the best educational assurance practices. The sample groups included 385 persons who were school administrators and teachers. Research tools included a survey form, interview forms, and an assessment form, which was verified and approved by nine qualified individuals. Data analysis involved content validation and factor analysis. The statistics also indicated the correctness, appropriateness, feasibility, and utility of the information. The statistical techniques used in the research included basic statistics and the analysis of essential requirements. The findings of the study revealed the following: 1) The current situation of the participation in educational quality assurance efforts of the small schools was rated at a moderate level, with the highest level of the desired conditions. An area of the requirements that was rated with the highest score of development priority was active participation in quality assurance. 2) The developmental guidelines for quality assurance practices in educational institutions encompassed five domains with a total of 16 strategies. The experts’ evaluation of these domains indicated a high level of accuracy, while appropriateness, feasibility, and utility were scored at the highest 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.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.343
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
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 head0.147
GPT teacher head0.483
Teacher spread0.336 · 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