Psychological Guidance of the Socialisation Process of Gifted Students using Information and Communications Technology Means
Bibliographic record
Abstract
Objective: The purpose of this article is to substantiate the psychological conditions that determine the content, forms, ways of organising, and promoting the process of socialisation of gifted students. Background: The success of modern man largely depends on his socialisation – the ability to see and understand others, analyse the course of events, to capture the prospects for development. Therefore, the key competencies include, among others, information and communication and social as those that ensure the successful acquisition of knowledge throughout life and entry into society. Method: A set of methods was used in the study: analysis, synthesis, generalisation, and systematisation of scientific data, observations, questionnaires, document analysis, methods of mathematical data processing. An online testing platform was developed to conduct a survey of students. Results: The authors proposed and implemented a project aimed at providing psychological and pedagogical support to gifted students; to provide the teaching staff with the necessary knowledge and skills to work with gifted children, to encourage participants in the educational process to use information and communications technology tools in educational activities. A model of psychological support and accompaniment of participants in the educational process has been developed. Conclusion: The experiment showed positive changes in socialisation in the experimental group in relation to the control group at a significant level. The findings of the study give grounds to conclude that the proposed author's comprehensive approach promotes the socialisation of gifted students.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".