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Record W2885316636 · doi:10.15253/2175-6783.2018193408

Metodologias de ensino-aprendizagem sob a perspectiva de discentes de enfermagem

2018· article· pt· W2885316636 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

VenueRev Rene · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsDialogicPerspective (graphical)Context (archaeology)Mathematics educationTeaching methodQualitative propertyProcess (computing)PsychologyPedagogyNursingMedical educationMedicineComputer science

Abstract

fetched live from OpenAlex

Objetivo: avaliar as metodologias de ensino-aprendizagem adotadas por docentes de um curso de Enfermagem, sob a perspectiva discente. Métodos: pesquisa com métodos mistos do tipo convergente. Recorte de projeto amplo de avaliação de programa, com uso do modelo Contexto, Insumos, Processo e Produto. Dados quantitativos (estudo transversal com dados secundários) e qualitativos coletados concomitantes e, posteriormente, triangulados. Resultados: sobre as metodologias de ensino adotadas por docentes, os discentes participantes referiram maior utilização de aulas expositivas e dialogadas, 161 (67,6%), entre professores das disciplinas básicas; e de aulas expositivas e não dialogadas, 226 (92,6%), por docentes de disciplinas específicas da enfermagem. Em todas as disciplinas, predominaram metodologias tradicionais de ensino e avaliação. Conclusão: os discentes participantes consideraram as metodologias predominantemente tradicionais e desejaram vivenciar métodos ativos, destacando a necessidade da interdisciplinaridade e maior integração ensino-serviço-comunidade.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.388
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.105
GPT teacher head0.412
Teacher spread0.306 · 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