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Record W3108657998 · doi:10.15405/epsbs.2020.11.03.117

Scientific Potential Of Teachers Of Secondary Vocational Education In Their Professional Communication

2020· article· en· W3108657998 on OpenAlexaboutno aff
Tatyana D. Shaposhnikova

Bibliographic record

Venue˜The œEuropean Proceedings of Social & Behavioural Sciences · 2020
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationPreparednessCompetence (human resources)Professional developmentMedical educationProfessional communicationWork (physics)PedagogyPsychologyMathematics educationComputer scienceEngineeringPolitical scienceMedicine

Abstract

fetched live from OpenAlex

The contemporary stage of development of secondary vocational education featured an increasing demand for training specialists in this field, with a focus on their professional development, the use of their scientific potential, in particular in their professional activities, including in practical communication in teaching. In solving the problem of training teachers of secondary vocational education, the authors proceed from the competence approach and the need to develop research skills as universal and promising competencies. The level of development of these skills can be used to assess the scientific potential of workers, preparedness to change, ability to quickly and adequately respond to external situations, see and identify problems in professional activities and find ways to solve them, evaluate the results of their work, observe and analyze educational phenomena and facts, and choose the most effective ways to achieve teaching objectives. The authors conducted a comparative review of the experience of training specialists of secondary vocational education for innovative activities in teaching future students, for active use of the scientific potential of teachers in the training process, and for increase of their professional level in the system of non-formal and informal education in different countries (Russia, UK, USA, Canada, Australia, New Zealand). It allows to conclude that professional communication based on dialogue and professionals' need for interaction, mutual help and mutual enrichment is among the most effective forms of pedagogical support of development of the scientific potential of vocational education workers for successful use of their promising research competences in their activities.

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.360

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.046
GPT teacher head0.298
Teacher spread0.253 · 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 teacher head, not a consensus.

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

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Citations0
Published2020
Admission routes1
Has abstractyes

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