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Record W4293229011 · doi:10.51891/rease.v8i2.4275

ALFABETIZAÇÃO E LETRAMENTO: CONTRIBUIÇÕES PARA O ENSINO DE MATEMÁTICA

2022· article· pt· W4293229011 on OpenAlexaff
Astrogilda Silva de Oliveira, Carlos Henrique da Silva Santos, Fabiana Angelo, Giselle Carolina de Lima e Silva, Jacques Lenoir Gusmão Moraes

Bibliographic record

VenueRevista Ibero-Americana de Humanidades, Ciências e Educação · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O ensino de Matemática possui amplos desafios na promoção de estratégias de ensino que proporcionem estímulos e interesse aos alunos em relação ao conhecimento matemático e suas aplicações. Neste contexto, o ensino de Matemática demanda que os alunos possuam capacidade de interpretação textual, que possibilitem desenvolver a reflexão e criticidade sobre o texto, para identificar as aplicações matemáticas necessária. O objetivo geral deste estudo é discutir a importância do processo de alfabetização e letramento para o desenvolvimento do ensino de Matemática na educação básica. Este estudo se caracteriza como uma pesquisa bibliográfica. O desenvolvimento deste estudo se apresenta relevante para se compreender o processo educacional na educação básica, a partir do processo de alfabetização e letramento construído no processo de ensino-aprendizagem das séries iniciais do ensino fundamental. A importância do processo de alfabetização e letramento no ensino de Matemática na educação básica consiste no fornecimento de bases essenciais para se trabalhar a dimensão crítica do conhecimento matemático em sala de aula.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0030.002
Scholarly communication0.0020.000
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.062
GPT teacher head0.347
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 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
Published2022
Admission routes1
Has abstractyes

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Same venueRevista Ibero-Americana de Humanidades, Ciências e EducaçãoSame topicEducation and Digital TechnologiesFrench-language works237,207