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Developing Emotional Intelligence: Approbation of a Coaching Program with Meditation Using Information and Communication Technologies

2023· article· en· W4386250077 on OpenAlex
Natalya V. Panova, Ludmila V. Kavun, Svetlana S. Gvozdetskaya

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Professional Development
Canadian institutionsnot available
Fundersnot available
KeywordsMeditationCoachingEmotional intelligencePsychologyApplied psychologyTest (biology)FeelingToronto Alexithymia ScaleWilcoxon signed-rank testClinical psychologySocial psychologyPsychotherapistPedagogyCurriculum

Abstract

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The article is devoted to the analysis of the results of testing the coaching program on the development of emotional intelligence (EI) with the use of meditation, using the on-line format of coaching sessions. Relevance of the research is determined by the necessity of using different methods, including meditation and information and communication technologies, for ET development. Methods: theoretical analysis of the literature, psychological testing, questioning, formative experiment, methods of mathematical statistics (Kruskal-Wallis test, Mann-Whitney U-test, T-Wilcoxon test). Tests: 1) Manoilova emotional intelligence test, 2) Lyusin emotional intelligence test, 3) Toront alexithymic scale, 4) author's questionnaire. The sample is 45 people, 15 people were in the control group, 30 people were in two experimental groups. In one of them a coaching program was carried out for the development of ET without using meditative techniques, in the other - with their application. Conclusions of the study 1) In both experimental groups, unlike in the control group, there was a significant decrease in the level of alexithymia and an increase in most of the EI components. 2) Differences in the development of different components of EI were found depending on whether the program included the use of meditation or not. In the group in which meditation techniques were not used, the most significant changes occurred in the area of awareness of one's own and others' feelings. There were no significant changes in the ability to manage one's own and others' emotions. The indicators of interpersonal EI were also almost unchanged. In the group in which meditative techniques were used, along with an increase in the ability to be aware of one's own feelings and the feelings of others, the ability to manage the emotions of others increased. 3) The use of meditation is more conducive to developing the ability to be aware of one's own and others' feelings, and less conducive to managing the emotions of others. 4) The results indicate the effectiveness of the online coaching session format, but more research is needed to compare the effectiveness of the program when working online and face-to-face.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.101
GPT teacher head0.419
Teacher spread0.318 · 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

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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