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ADAPTAÇÃO DA METODOLOGIA “SALA DE AULA INVERTIDA” COM APLICAÇÃO DE RECURSO EDUCACIONAL ABERTO “QUIZIZZ” PARA AVALIAÇÃO: RELATO DE EXPERÊNCIA

2023· article· pt· W4389490710 on OpenAlexaff
Milene Graciele de Almeida, Marcelo Maia Cirino

Bibliographic record

VenueArquivos do Mudi · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesChemistryPsychologyPhilosophy

Abstract

fetched live from OpenAlex

O presente artigo descreve um relato de experiência oriundo da observação de seis aulas introdutórias de Química Orgânica, no terceiro ano do Ensino Médio, em um colégio estadual do Oeste do Paraná. O objetivo foi analisar a adaptação da metodologia de Sala de Aula Invertida com a utilização de Recursos Educacionais Abertos (REA), a partir das Tecnologias Digitais da Informação e Comunicação na avaliação da aprendizagem por meio da Plataforma Quizizz. Para tanto, foi observada a adaptação da metodologia, a interpretação e o trabalho dos estudantes, assim como a atuação do professor como mediador. O trabalho também dialoga com as práticas pedagógicas e as vantagens sobre a utilização dos REA para o ensino e para a aprendizagem. Em síntese, concluímos que a utilização da metodologia Sala de Aula Invertida é promissora e pode ser adaptada de acordo com a realidade escolar. Consideramos também, que os Recursos Educacionais Abertos são contribuintes para a aprendizagem, podendo ser utilizados no engajamento dos estudantes e permitindo o desenvolvimento de novas habilidades em pesquisas, contribuindo com os processos avaliativos.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Empirical
Teacher disagreement score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.174
GPT teacher head0.404
Teacher spread0.230 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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