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Record W2796162553 · doi:10.5539/gjhs.v10n5p55

Ability of School Teachers to Manage Asthmatic Attacks Among School Going Children in Jordan

2018· article· en· W2796162553 on OpenAlexvenueno aff
Mariam Kawafha

Bibliographic record

VenueGlobal Journal of Health Science · 2018
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAsthmaMediationMedicineSchool teachersData collectionAsthma attackCross-sectional studyPsychologyFamily medicineMedical educationMathematics education

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic asthma has been characterized by recurrent episodes of wheezing and breathing. However, the frequency and severity of the disease vary from one person to another. PURPOSE: The study aims to assess the ability of school teachers for providing appropriate mediation for the students, who suffer asthmatic attack at school.DESIGN: The study has incorporated descriptive cross sectional quantitative research design to investigate the capability of school teachers in managing asthmatic attack among children. METHODS: Teachers from primary schools have been recruited by using cluster random sample, and a structured questionnaire has been used for data collection. The data acquired from the questionnaire was analyzed using SPSS version 20.0.RESULTS: The results showed that the teachers lack awareness about asthma and unable to manage students with asthma. None of the teachers had received educational conference or workshop about asthma.CONCLUSION: The study has concluded that the level of knowledge of school teachers regarding asthma is limited and not satisfactory; and teachers are also unable to take care for students with asthma.

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)0.007
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 score0.020
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
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 head0.022
GPT teacher head0.388
Teacher spread0.366 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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