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Record W3010817068 · doi:10.25248/reas.e483.2020

Proposta de prevenção na aprendizagem mediada por tecnologias no ensino fundamental II, apoiada pela psicopedagogia e estudos sociais da ciência e da tecnologia

2020· article· pt· W3010817068 on OpenAlexaff
Luciana Siqueira Lira de Miranda, Jaci Lima da Silva, Luanda Campina, Maria Caroline Romão de Souza

Bibliographic record

VenueRevista Eletrônica Acervo Saúde · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophyPsychology

Abstract

fetched live from OpenAlex

Objetivo: Apresentar uma proposta de intervenção em escolas de Boa Vista-Roraima, turmas do ensino fundamental ll, nas quais já exista a figura assistencial do psicopedagogo no processo ensino aprendizagem. Revisão bibliográfica: A psicopedagogia traz em seu enfoque principal o papel de prevenir as dificuldades de aprendizagem, bem como intervir nas já existentes. Diante do que atualmente se vivencia com o aumento desenfreado do uso dos meios de informação e tecnologias pelas crianças e adolescentes, depara-se com a queda do rendimento escolar, o aumento dos problemas de relacionamentos e o aparecimento de transtornos comportamentais. Motivo de preocupação por parte de especialista da área, com o argumento de uma necessária orientação pedagógica. Considerações finais: A ideia é que esta proposta seja implementada seguindo procedimento metodológico que envolva palestras, rodas de conversa, reuniões com pais e periodicamente seja feita avaliação dos resultados a partir das respostas obtidas e da interação entre os envolvidos.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient 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 score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0040.002
Scholarly communication0.0010.002
Open science0.0030.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.003

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 head0.110
GPT teacher head0.388
Teacher spread0.278 · 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
Published2020
Admission routes1
Has abstractyes

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