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Research of the Level of Emotional Intelligence of Preschool Teachers-Methodologists

2020· article· en· W3005654168 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 Intellectual Disability - Diagnosis and Treatment · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Professional Development
Canadian institutionsnot available
Fundersnot available
KeywordsEmotional intelligenceFeelingPsychologyCompetence (human resources)Emotional competenceEmotional expressionDevelopmental psychologyThe Emotional Intelligence AppraisalApplied psychologySocial psychology

Abstract

fetched live from OpenAlex

The objective of this study was to find out the level of emotional intelligence of preschool teachers-methodologists with the purpose of further professional advancement (enhancing their emotional competence). Tools applied for collecting and processing statistics were the following: survey results, methodologist’s checklists of observation of conducting classes by the teacher, N. Hall’s Emotional Intelligence Test, questionnaires for parents. There was also a survey of training participants followed by written feedback. STATA software was used for data processing, and the online TextAnalyzer utility was used to process free responses from the parent questionnaires. It is found that the system of formation of emotional intelligence, based on the training we have developed, has a positive impact on the development of emotional intelligence of preschool teachers-methodologists. The above approach enhances the knowledge of preschool teachers about their emotions, senses and feelings, contributing to the development of their ability to understand their own emotions. After the training, 7.14% of the participants showed a low level as opposed to the initial level of 33.33%. The medium level rose significantly, from 60.0% to 78.6%. And the high level of awareness of emotional intelligence in teachers has increased more than twice - from 6.67% to 14.29%. The arithmetical mean for raw scores also increased - from 43.87 to 57.54, thus confirming that the system used in training allows developing strategies for modulation of their emotions, introducing the training participants to the techniques of expression of their emotions and developing a range of emotional competency skills aimed at overcoming emotive situations. Since during the analysis of the lessons by the methodologist the teacher had to respect both the positive and negative response of the methodologist and since respect is a component of leadership, we can say that the feedback contributed to the development of leadership qualities of teachers. Regarding pedagogical skills, provided that the teacher constantly works on self-improvement of emotional intelligence, we state that the level of the teacher’s pedagogical skills also improves. We consider it reasonable to further explore the possibilities of developing the competence of emotional intelligence in future teachers during their study in higher educational institutions and preschool teachers.

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)0.002
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient 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 score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.011
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)0.0010.000

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 head0.609
GPT teacher head0.519
Teacher spread0.090 · 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