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Record W3035796648 · doi:10.32370/ia_2020_06_18

The Methods on Forming the Worldview Culture of Future Music Teachers in the Process of Piano Learning

2020· article· en· W3035796648 on OpenAlexvenueno aff
Zhang Jiangan

Bibliographic record

VenueIntellectual Archive · 2020
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Teacher Development
Canadian institutionsnot available
Fundersnot available
KeywordsPianoProcess (computing)PsychologyLiteral and figurative languageMusicalRepertoireThe artsCognitionMusic educationMathematics educationPedagogyComputer scienceArtVisual artsLinguisticsLiterature

Abstract

fetched live from OpenAlex

The article highlights the peculiarities of the introduction of methods of forming the worldview culture of students of arts faculties of pedagogical universities in the conditions of piano education.The leading directions of methodical providing of piano preparation of students are allocated, namely: activation of cognitive-performing interests and needs of students, enrichment of their musical-theoretical knowledge on the basis of performing repertoire; development of performing skills to create emotional and figurative representations in the process of learning to play the piano.Methodical measures for the formation of worldview culture on the basis of the developed criteria and indicators of certain components are presented.The efficiency of the offered technique in the conditions of piano training at all stages of educational process is proved. Key words: worldview culture

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)0.006
metaresearch head score (Gemma)0.012
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 score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.004
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.055
GPT teacher head0.352
Teacher spread0.298 · 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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