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Psycho-Emotional State of Students with Special Educational Learning Needs

2018· article· en· W2920762017 on OpenAlexvenueno aff
Toxanbaeva Nurgul, Bibigul Almukhambetova, Zabira Madaliyeva, Zhubanazarova Nazirash, Baimoldina Laura Orazbekovna, Toxanbayeva Nazgul Bakytkyzy

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2018
Typearticle
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)PsychologyMathematics educationPedagogyComputer science

Abstract

fetched live from OpenAlex

This article is devoted to the study of the psycho-emotional state of students with special educational needs in education. The primary objective of the study was to study the theoretical views of domestic and foreign researchers on the psycho-emotional state and manifestation of anxiety; to conduct a theoretical analysis of the relationship of stress and the learning process; to clarify the manifestation of anxiety among students with special educational needs of our University in the learning process. The hypothesis of the study was as follows: for students with special educational needs, the learning process is accompanied by a manifestation of anxiety and harms their psycho-emotional state. The results obtained in the course of the study led to the conclusion that students with special educational needs in the learning process involve a range of factors that determine the behavioural reactions of frustrating nature. And that is why, because of the mismatch of opportunities, priorities, there is an increase in the normative level of anxiety, which affects their overall psycho-emotional state.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.995

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.040
GPT teacher head0.361
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.

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

Citations4
Published2018
Admission routes1
Has abstractyes

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