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Record W2301773358 · doi:10.5539/jel.v5n2p136

Educational Faculty Members’ Perceptions on Multicultural Teacher

2016· article· en· W2301773358 on OpenAlexvenueno aff
Rafet Günay, Dolgun Aslan

Bibliographic record

VenueJournal of Education and Learning · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismViewpointsSubject (documents)Multicultural educationPsychologyPerceptionPedagogyQualitative researchTreasureMathematics educationSociologyLibrary scienceSocial scienceVisual arts

Abstract

fetched live from OpenAlex

<p>This purpose of this study is to determine how the perceptions of teaching personnel members were conceptualized through use of metaphorical images with regard to the multicultural teacher. In this study, a phenomenological design, a type of qualitative research design was used. A total of 323 teaching personnel members employed at 71 educational faculties in Turkey participated voluntarily in the study. The data of the participants were analyzed using descriptive content analysis. The metaphors most used by the teaching personnel members were those of conductor, treasure chest of knowledge, Rumi, a restaurant chef, a gardener, a rainbow, a democrat, a prism and a guide. Whether one compares the Department of Educational Sciences with other departments or makes a comparison of the main subject areas within the Department of Educational Sciences, of all the themes produced, the perception seems to be shared that the multicultural teacher is able to synthesize the viewpoints of different cultures. These appeared to be no misunderstandings or misconceptions regarding the concept of the multicultural teacher with no distinction recorded between the Department of Educational Sciences and the main subject areas.</p>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.620
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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 head0.068
GPT teacher head0.347
Teacher spread0.279 · 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.

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
Published2016
Admission routes1
Has abstractyes

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