MétaCan
Menu
Back to cohort
Record W4210252447 · doi:10.48163/rseus.2021.9133-44

A utilização das TICS nas escolas públicas do Brasil: uma revisão bibliográfica do uso no planejamento educacional brasileiro

2021· article· es· W4210252447 on OpenAlexaff
Edla Gonçalves De Alencar Trigueiro

Bibliographic record

VenueRevista Sudamericana de Educación Universidad y Sociedad · 2021
Typearticle
Languagees
FieldSocial Sciences
TopicEducation during COVID-19 pandemic
Canadian institutionsImpact
Fundersnot available
KeywordsPandemicMedical educationGuard (computer science)Coronavirus disease 2019 (COVID-19)PsychologyMedicineComputer science

Abstract

fetched live from OpenAlex

La pandemia provocada por el virus COVID-19 no sólo tomó desprevenidos a los profesionales de la salud, sino también a la educación, que tuvo que realizar cambios en su planificación pedagógica por tiempo indefinido. Según datos de Naciones Unidas, más del 90% de los estudiantes matriculados en el planeta tuvieron que quedarse en casa para continuar estudiando de forma remota a través de computadoras y celulares, lo que dio una nueva configuración a la forma de enseñar y aprender. Ante esto, este artículo tiene como objetivo analizar el uso de las TIC en las escuelas públicas brasileñas, a través de una revisión teórica que fundamente el uso de esas herramientas en el aula, con el objetivo de una planificación más adecuada para el futuro. Además, como metodología de investigación, se realizó una revisión teórica sobre el uso de estas tecnologías en las escuelas. Como resultado, podemos resaltar la falta de estructura en las escuelas, la falta de preparación de docentes y estudiantes para programar Educación a Distancia de Emergencia - ERE, propuesto por las autoridades educativas debido a la pandemia. Con esto se concluye que son necesarias políticas públicas para adaptar las escuelas a esta nueva realidad que insiste en permanecer y cuyos impactos son incalculables.

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)0.002
metaresearch head score (Gemma)0.003
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 categoriesMeta-epidemiology (narrow), 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 score0.410
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.013
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.026
GPT teacher head0.363
Teacher spread0.338 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueRevista Sudamericana de Educación Universidad y SociedadSame topicEducation during COVID-19 pandemicFrench-language works237,207