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AS METODOLOGIAS ATIVAS DE ENSINO NOS CURSOS DE LICENCIATURA

2018· article· pt· W2905829804 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

VenueSignos · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este artigo tem como objetivo apresentar as contribuições dos cursos de Licenciatura de uma Instituição de Ensino Superior (IES), localizada no Rio Grande do Sul/BRA, na formação de seus alunos no que se refere à utilização de estratégias de ensino norteadas por metodologias ativas. O referencial teórico está ancorado na formação inicial de professores (NÓVOA, 2009; TARDIF, 2012) e no caráter autônomo que proporciona uma abordagem com metodologias ativas de ensino (BERBEL, 2011; FREIRE, 2015). O estudo segue uma abordagem quantitativa, utilizando como instrumento de coleta de dados um questionário aplicado aos formandos de quatro cursos de Licenciatura da IES investigada. Como resultados, evidenciou-se que o curso de Pedagogia se destacou como o que oferece maior frequência práticas pedagógicas norteadas por metodologias ativas, embora os outros também ofereçam essa metodologia. O curso de História aparece como o curso em que se destacam aulas expositivas, centradas no professor. Os cursos de Letras e Educação Física desenvolvem práticas pedagógicas ora tradicionais, ora ativas.

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.010

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 head0.162
GPT teacher head0.473
Teacher spread0.311 · 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