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Record W2543637678

O eixo Articulador Educação Inclusiva e Especial do Curso de Pedagogia Univesp/ Unesp: análise quanti-qualitativa

2016· article· pt· W2543637678 on OpenAlexvenueno aff
Danielle Aparecida do Nascimento dos Santos, Elisa Tomoe Moriya Schlünzen, Klaus Schlünzen

Bibliographic record

VenueINFOR Information Systems and Operational Research · 2016
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSpecial educational needsPhilosophyPedagogyPsychologySpecial education
DOInot available

Abstract

fetched live from OpenAlex

Visando a disseminacao da cultura de uso de tecnologias a servico da educacao, estabelecendo redes de formacao e construcao do conhecimento, para uma escola de qualidade para todos, a Universidade Virtual do Estado de Sao Paulo (Univesp), em parceria com a Universidade Estadual Paulista “Julio de Mesquita Filho” (Unesp) propos, de 2009 a 2013, um curso de Licenciatura em Pedagogia semipresencial, voltado a professores da rede em exercicio, para a formacao nessa licenciatura. O curriculo do curso, estruturado em Blocos de Conteudos, foi composto por Eixos Articuladores, entendidos como disciplinas balizadoras de aspectos transversais aos conteudos da formacao. O Eixo Articulador Educacao Inclusiva e Especial foi desenvolvido no segundo bloco do curso, mediante 120 horas. Neste artigo sera descrita a avaliacao quanti-qualitativa do Eixo Articulador Educacao Inclusiva e Especial, considerando a consolidacao da abordagem Construcionista, Contextualizada e Significativa (CCS), definida por Schlunzen (2005) e presente na tese de Santos (2014). Com base em um questionario aplicado em formato de amostragem, serao apresentadas as perspectivas dos professores-cursistas em relacao as contribuicoes do Eixo no que se refere ao conhecimento sobre politicas e praticas de inclusao escolar e uso de recursos tecnologicos na elaboracao de Planos de Ensino Inclusivos (PEI).

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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.007
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.190
GPT teacher head0.485
Teacher spread0.295 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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