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Record W3082433663 · doi:10.5430/ijhe.v9n6p77

Models of Arts Teacher’s Professional Development

2020· article· en· W3082433663 on OpenAlexvenueno aff
Reni Haerani, Juju Masunah, Tati Narawati, Endang Rochyadi, Mujiarto Mujiarto

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Education
Canadian institutionsnot available
Fundersnot available
KeywordsProfessional developmentDancePedagogyPsychologyFaculty developmentMedical educationSociologyProfessional learning communityProfessional studiesMedicine

Abstract

fetched live from OpenAlex

This article aims to describe a model of professional development for art teachers in Indonesia. The model includes the ability to carry out basic tasks and functions as educators, namely pedagogical, professional, and social competences, especially for dance teachers in managing and providing education services to children with special needs. This qualitative research employed a descriptive method with literature reviews, observations, and personal experiences for data collection. The findings show that the teacher professional development model has been carried out by (1) the pre-professional phase, (2) the autonomous professional phase, (3) the collegial professional phase, but never the post-professional or postmodern phase. The activities are conducted as workshops, including discussions with colleagues, principals, and supervisors. This research recommends conducting continuous supervision and development to improve teachers’ competences in providing equitable services in concordance with the needs of inclusive schools.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0040.012
Scholarly communication0.0070.005
Open science0.0020.005
Research integrity0.0010.002
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 head0.066
GPT teacher head0.391
Teacher spread0.324 · 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 designTheoretical or conceptual
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

Citations11
Published2020
Admission routes1
Has abstractyes

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