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Record W4399126589 · doi:10.51189/conbracib2024/31853

APRIMORANDO O ENSINO DAS CIÊNCIAS: METODOLOGIAS ATIVAS NO PROGRAMA DE RESIDÊNCIA PEDAGÓGICA

2024· article· pt· W4399126589 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsCascades (Canada)
Fundersnot available
KeywordsArtComputer scienceHumanities

Abstract

fetched live from OpenAlex

Introduo:No vasto campo das cincias e tecnologias, a diversidade de recursos disponveis, guiados por metodologias especficas, tem o potencial de exercer uma influncia positiva no processo de ensino-aprendizagem.Entre essas abordagens, as metodologias ativas se destacam pela sua capacidade de integrar os elementos fundamentais da educao, cultura, sociedade, poltica e escola.Implementadas por meio de estratgias dinmicas e inovadoras, essas metodologias so centralizadas na participao ativa do aluno, buscando otimizar de maneira eficaz o caminho educacional Objetivo: Este trabalho tem como propsito reafirmar as vantagens do uso das metodologias ativas, fundamentando-se nas experincias vivenciadas no Programa de Residncia Pedaggica (PRP).Relato de caso/experincia: No contexto do PRP, a regncia em escolas de educao bsica proporciona uma oportunidade nica para testar teorias educacionais aprendidas em sala de aula.Essa experincia se configura como um laboratrio experimental de estratgias e propostas inseridas no processo educacional, evidenciando a aceitao

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.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.010

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 head0.171
GPT teacher head0.485
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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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