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Record W3039009633 · doi:10.5430/ijhe.v9n5p46

Investigating the Relationship between Cognitive Distortions and Academic Stress for Intermediate School Teachers before and during Work

2020· article· en· W3039009633 on OpenAlexvenueno aff
Asmaa Mostafa Ali El-Shokheby

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionPsychologyDescriptive statisticsScale (ratio)Stress (linguistics)Test (biology)Sample (material)Variance (accounting)Developmental psychologyMathematics educationStatisticsMathematicsGeography

Abstract

fetched live from OpenAlex

The current study aimed to investigate the correlation between cognitive distortions and academic stress among intermediate school teachers before and during admitting work at Dilam region in Saudi Arabia. The sample comprised of 120 females, with 63 trainee students from Education College, fourth year, and 57 intermediate school teachers with various years of experience. The sample aged from 20 to 23 years for trainee students, and from 30 to 50 years for intermediate school teachers. Cognitive distortions Scale, (Qurashi, 2016) and the Academic Stress Scale (Hussain,2015) were used to assess the major variables of the study. The study adopted a descriptive design to test the correlation between variables. The results showed that teachers of the intermediate stage before and during admitting actual work have moderate cognitive distortions and academic stress level. Analysis of variance showed that no statistically significant difference in cognitive distortions attributed to specialization and that experience was not a significant factor. Futher, interaction between specialization and experience was not significant. Similarly, results implied that there were significant differences between specialization and experience on academic Stress. Also the results indicated that all coefficients were statistically significant. It showed the strong direct correlation between cognitive distortions and academic stress.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.014
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.095
GPT teacher head0.417
Teacher spread0.322 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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