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Record W3012235037 · doi:10.15332/25005421/5465

Educação Integral, Híbrida e Inclusiva na perspectiva Construcionista, Contextualizada e Significativa (CCS)

2019· article· pt· W3012235037 on OpenAlexaff
Klaus Schlünzen, Elisa Tomoe Moriya Schlünzen, Jeong Cir Deborah Zaduski, Sandra Giovina Ponzio, Maria Claudia Leme Lopes da Silva

Bibliographic record

VenueRevista Interamericana de Investigación Educación y Pedagogía RIIEP · 2019
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyPedagogySociologyPhilosophy

Abstract

fetched live from OpenAlex

Nas demandas do século 21, a escola ultrapassa a dimensão do desempenho acadêmico proveniente da acumulação de conteúdos, na direção de um conhecimento mobilizador que exige uma posição protagonista do estudante, isto é, uma possibilidade de saber e fazer. Essa configuração requer um currículo referenciado em competências e, todavia, as competências cognitivas, por si só, não são suficientes para formar esse estudante capaz de enfrentar os desafios do século 21, daí a emergência de uma Educação Integral que vise o desenvolvimento pleno, por meio de competências cognitivas e socioemocionais. O reconhecimento dos prejuízos da fragmentação do conhecimento e da supervalorização da dimensão racional revelou, no campo educacional, a necessidade de ações de integração curricular e de abordagens que promovam o desenvolvimento pleno - cognitivo e socioemocional, mediado pelo uso das tecnologias digitais. A formação de professores com estas competências na perspectiva Construcionista, Contextualizada e Significativa (CCS) é o foco deste artigo, que une a expertise do Instituto Ayrton Senna (IAS) na formação integral com a da equipe da Universidade Estadual Paulista (Unesp), que desenvolve pesquisa relacionadas a formação segundo esta abordagem.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.008
Scholarly communication0.0030.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.004

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 head0.045
GPT teacher head0.359
Teacher spread0.314 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueRevista Interamericana de Investigación Educación y Pedagogía RIIEPSame topicEducation and Digital TechnologiesFrench-language works237,207