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Record W4391133071 · doi:10.55905/revconv.17n.1-272

Revolucionando a pedagogia: o impacto da sala de aula invertida em diversos componentes curriculares

2024· article· pt· W4391133071 on OpenAlexaff
Monique Bolonha das Neves Meroto

Bibliographic record

VenueContribuciones a las Ciencias Sociales · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicEducation during COVID-19 pandemic
Canadian institutionsImpact
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

Este estudo abordou o impacto da metodologia da sala de aula invertida em diversos componentes curriculares, focando especialmente em como essa abordagem promove o protagonismo estudantil e contribui para uma educação mais inclusiva. O problema central investigado foi a eficácia da sala de aula invertida em diferentes contextos educacionais e sua interação com as práticas pedagógicas tradicionais. O objetivo geral foi analisar a implementação e os efeitos dessa metodologia, avaliando suas implicações no processo de ensino-aprendizagem. A metodologia adotada consistiu em uma revisão de literatura, proporcionando uma análise com base em fontes acadêmicas relevantes. Os resultados demonstraram que a sala de aula invertida melhora significativamente o engajamento e a compreensão dos alunos, além de promover habilidades essenciais como pensamento crítico e autonomia. Contudo, foram identificados desafios na implementação, como resistência institucional e necessidade de recursos tecnológicos adequados. As considerações finais destacaram a importância da sala de aula invertida como uma ferramenta para educadores, ressaltando a necessidade de abordagens adaptativas e reflexivas para superar os obstáculos enfrentados.

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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.110
GPT teacher head0.395
Teacher spread0.285 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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