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Record W3012850138 · doi:10.32370/ia_2020_01_17

Development of Future Teachers` Professional Thinking by Means of Task Approach to Organization of Educational Process

2020· article· en· W3012850138 on OpenAlexvenueno aff
Vanda Vyshkivska, Світлана Кушнірук

Bibliographic record

VenueIntellectual Archive · 2020
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Teacher Development
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Task (project management)Professional developmentPsychologyMathematics educationCognitively Guided InstructionEngineering ethicsPedagogyComputer scienceEngineering

Abstract

fetched live from OpenAlex

The importance of the problem of developing the future teachers` professional thinking as a condition for their effective pedagogical activity is actualized in the article; different approaches of scientists to its interpretation are analyzed.Professional pedagogical thinking is interpreted as a necessary basis for providing future teachers with research skills, developing their pedagogical intuition and key operations, procedures of scientific thinking, forming professional reflection skills.The task approach to the organization of the educational process is such that it involves the introduction into the content of training programs for professionals of applied nature, which allow first to mentally construct different options for solving practical problems of different levels of complexity, to predict their effectiveness, and only then to design the plane of their application in practice, to reflect.

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)0.007
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.006
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.284
Teacher spread0.258 · 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 designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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