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Record W3080637527 · doi:10.3968/11761

Research on Improving Skills of Dance Classroom Teaching Organizing in Universities: A Case Study of Mongolian Dance Teaching

2020· article· en· W3080637527 on OpenAlexvenueno aff
Ran Shang

Bibliographic record

VenueCross-cultural communication · 2020
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDanceMathematics educationAffect (linguistics)PsychologyControl (management)Teaching methodAtmosphere (unit)PedagogyComputer scienceCommunicationVisual arts

Abstract

fetched live from OpenAlex

Classroom organizing skills are the fulcrum of a course and the basic guarantee for completing classroom teaching tasks. Effective classroom depends on teachers’ control. All factors that affect teaching should be organized and integrated by teachers. Teachers should formulate reasonable teaching plans through analysis, and their organizational skills will determine the classroom teaching effect. In this paper, the present situation of classroom teaching is investigated and studied to improve the classroom organizing ability of dance teachers. According to the survey results, it is found that Mongolian dance teachers have some problems, such as insufficient theoretical knowledge of classroom organization, too simple classroom organizational form, and lack of attention to classroom organization. To solve these problems, the Suggestions are as follows:create good classroom atmosphere, organize and maintain students’ attention, and arouse students’ interest and motivation in learning.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.081
GPT teacher head0.431
Teacher spread0.350 · 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 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
Published2020
Admission routes1
Has abstractyes

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