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Record W4328097869 · doi:10.5430/jct.v12n3p11

Formation of Professional Competence of Future Primary School Teachers Against the Background of Large-Scale Military Aggression (a response to the challenges of the times)

2023· article· en· W4328097869 on OpenAlexvenueno aff
Natalia Androsova, Наталія Цуканова, Yulia N. Demchenko, Tetiana Prybora, Olga Tkachenko

Bibliographic record

VenueJournal of Curriculum and Teaching · 2023
Typearticle
Languageen
FieldComputer Science
TopicInnovative Educational Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsAggressionCompetence (human resources)PsychologyStrengths and weaknessesMathematics educationProfessional developmentAppealPedagogySWOT analysisSchool teachersSocial psychologyPolitical scienceManagement

Abstract

fetched live from OpenAlex

In contemporary European literature, the problem of shaping future educators against the backdrop of crisis (military) transformations has not been explored. Ukrainian teachers demonstrate valuable experience in the teaching under warfare conditions, which should be the subject of a separate study. In addition, the problem of the professional formation of future teachers is also relevant, given the numerous terminological debates between scientists. The article aims to analyze the formation of professional competence of future elementary school teachers against the background of large-scale military aggression. The work is formed on the use of theoretical pedagogical research methods. Noticeable attention is paid to the methods of generalization, abstraction, analysis, synthesis. Among the empirical methods, the methods of experiment and SWOT-analysis were used. With the help of the latter, the strengths and weaknesses of the formation of professional competence in the system of distance learning of future elementary school teachers against the background of military aggression are reflected. The results considered terminological discussions regarding the concept of “professional competence”, highlighted the main features of professionalism of modern teachers, analyzed the use of game techniques and their impact on the formation of important skills for future teachers, developed a training model to ensure maximum exposure to professional competence in future teachers. In the conclusion, it was noted that the appeal to game techniques allows to deepen the assimilation of professional competence, moreover, conducting games during the war has an additional psychological effect. The best training model for future teachers is to conduct distance learning sessions according to the established program, which provides an increase in the amount of practice and actualization of the experience of independent work.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.289
Teacher spread0.274 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations5
Published2023
Admission routes1
Has abstractyes

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