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Record W4410139767 · doi:10.22329/jtl.v19i2.8658

Formation of Research Competence in the Future Primary School Teacher

2025· article· en· W4410139767 on OpenAlexvenueno aff
Karakat M. Nagymzhanova, Aigul Beisenbayeva, Saltanat Feizuldayeva, Begaim Zhiyentaeyva, Batzhamal Abilova

Bibliographic record

VenueJournal of Teaching and Learning · 2025
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Teacher Development
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)Mathematics educationPsychologyPrimary (astronomy)PedagogyPhysicsSocial psychology

Abstract

fetched live from OpenAlex

Pedagogical research competence has recently become an essential educational outcome in future teacher training to conduct social and professional activities. The purpose of this study is to identify the state and means of development of research activity of future primary schoolteachers. A questionnaire survey of students at a pedagogical university was conducted. The conditions for the formation of the specified competence in the system of modern education of Kazakhstan are offered. During this empirical research, the level of students’ mastering of skills, which are the basis of research competence, was established. Future teachers at the stage of training need to receive proper research experience. The practical significance of this lies in the development of methodological recommendations, covering key, theoretical information about the features of pedagogical-research competence and its means of development, in the context of training future primary schoolteachers.

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)0.011
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.989
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
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 head0.039
GPT teacher head0.377
Teacher spread0.338 · 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.

Study designObservational
DomainMethods
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

Citations2
Published2025
Admission routes1
Has abstractyes

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