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Record W2907332449

O uso de mídias no Programa Mais Educação: contribuições para o processo de aprendizagem

2018· article· pt· W2907332449 on OpenAlexvenueno aff
Marco Tulio Santos Ledo

Bibliographic record

VenueINFOR Information Systems and Operational Research · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophySociology
DOInot available

Abstract

fetched live from OpenAlex

Esse artigo apresenta os resultados obtidos a partir do projeto de intervencao realizado em duas turmas do Programa Mais Educacao no municipio de Almenara – MG. A proposta analisou a contribuicao das midias computador, jornal e TV para o processo de ensino e aprendizagem. Perpassou-se pela pesquisa teorica com textos de autores que discorrem sobre o tema proposto “O uso de midias no processo de aprendizagem”, entre eles, Valente (2005), Moran (2011), Perrenoud (2000). A intervencao fora desenvolvida com 30 alunos do 5o ano do Ensino Fundamental e teve como metodologia, alem da pesquisa teorica, a tecnica da observacao, entrevista verbais, utilizadas como diagnostico, para aplicacao da intervencao. Constatou-se que apesar de a escola possuir instrumentos que podem subsidiar um trabalho dinâmico com os alunos os mesmos nao sao utilizados exatamente pela falta de preparo dos professores. Isso hoje e antagonico ao exposto pela midia e pela tecnologia, que mostram nossos alunos integrados atraves das redes sociais. Verificou-se a necessidade de formacao dos professores para o uso integrado das midias no contexto escolar e o desejo dos alunos de estarem integrado neste mundo de novas linguagens.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.636
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.139
GPT teacher head0.461
Teacher spread0.322 · 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 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
Published2018
Admission routes1
Has abstractyes

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