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Record W2991694003

Analyses on Piano Accompaniment Improvisation Teaching Reform

2015· article· en· W2991694003 on OpenAlexvenueno aff
Shu Su

Bibliographic record

VenueHigher education of social science · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsImprovisationPianoCurriculumAffect (linguistics)Quality (philosophy)PsychologyStatueMathematics educationTeaching methodSociologyPedagogyArtVisual artsCommunicationPhilosophyEpistemologyArt history
DOInot available

Abstract

fetched live from OpenAlex

As an important part of the piano teaching, the purpose of improvisational accompaniment aims to cultivate student’s capabilities in improvisational accompaniment, improving students’ quality in music and art. With the development of the social demand, the content of the piano teaching is getting more enriched, and improvisational accompaniment gradually develops into an independent subject, and its statue in annual musical major teaching can’t be ignored. However at present, courses on improvisational accompaniment don’t match the development of today’s world, there are some problems in curriculum arrangement and course material arrangement which affect the effect of practical teaching. This article mainly analyses various factors that affect the effect of the improvisational accompaniment teaching, discuss and state the efficient tactics on teaching reform in accord with the necessity of teaching reform.

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)0.003
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.184
GPT teacher head0.382
Teacher spread0.198 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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