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EDUCAÇÃO ONLINE E AS IMPLICAÇÕES DA INTELIGÊNCIA ARTIFICIAL

2015· article· pt· W4235261094 on OpenAlexaff
Linda Harasim

Bibliographic record

VenueRevista da FAEEBA- Educação e Contemporaneidade · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicEducation during COVID-19 pandemic
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

A compreensão do conceito de Educação Online passa pela discussão dos muitos termos antitéticos que o cercam, os vários termos que são usados como sinônimos em lugar de subcategorias, as pedagogias que são implicadas por esse processo e as epistemologias que os sustentam. Neste artigo, propomo-nos a apresentar um horizonte teórico e uma pedagogia da Aprendizagem Colaborativa Online que permite o desenvolvimento de uma Inteligência Humana Aumentada, em oposição à ameaça representada pelo crescimento da Inteligência Artificial e de seu uso na educação. Para tanto, apresentamos o conceito de Educação Online, seu contexto histórico, teórico, epistemológico, tecnológico e suas perspectivas pedagógicas para afirmar a necessidade de canalizar o poder da educação online para aumentar a atuação humana e a sabedoria coletiva

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-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 score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.005

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 head0.208
GPT teacher head0.438
Teacher spread0.229 · 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
Published2015
Admission routes1
Has abstractyes

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