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Educação a distância e globalização: desafios e tendências

2019· article· pt· W2460181563 on OpenAlexaboutno aff
Oreste Preti

Bibliographic record

VenueRevista Brasileira de Estudos Pedagógicos · 2019
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Nestas duas últimas décadas observamos, em todos os continentes, uma expansão da modalidade de Educação a Distância. Países têm investido na criação de universidades dedicadas unicamente a atuarem nesta modalidade: a Open University na Inglaterra, Austrália e Índia, a FernUniversität na Alemanha, a Uned na Espanha e Costa Rica, a Universidade Aberta em Portugal, a Télé-Université no Canadá, a UNA na Venezuela, a Unidad Universitária del Sur de Santafé de Bogotá, etc. A maioria delas atendendo a mais de 100 mil estudantes e oferecendo cursos os mais variados. Qual o sentido desta expansão? A Educação a Distância, por sua flexibilidade e economia de escala, tem sido chamada para dar uma resposta aos desafios político-social, econômico, pedagógico e tecnológico, postos à sociedade com a implantação do programa neoliberal, a globalização da economia e a introdução das novas tecnologias no sistema produtivo e de comunicação. Mas, ela tem essa potencialidade? Quais as limitações e os desafios encontrados? Como dar conta do divórcio entre o desenvolvimento dos conhecimentos e as limitadas oportunidades de acesso? Como garantir uma educação para todos, se os recursos públicos são cada vez mais escassos e reduzidos e os meios tecnológicos de comunicação ainda não foram socializados? É sobre este cenário que iremos deter nossas reflexões. Palavras-Chave: educação a distância, globalização, função da educação, comunicação de massa. Abstract In these two last decades, we notice, in all the continents, an expansion of the Distance Education. Many countries have invested in the foundation of universities full time devoted to this methodology (modalidade?): Open University (UK, Australia and India), FernUniversität (Germany), Uned (Spain and Costa Rica), Universidade Aberta (Portugal), Télé-Unversité du Québec (Canada), UNA (Venezuela), and so on, most of them enrolling more than 100.000 students and offering a diversity of courses. Which the reason of this expansion? Distance Education, for his flexibility and economy scale, can offer the way to solution of the political, social, economic, educational and technological challenges, raised from the new liberal program, from the (globalização) of the economy e from the introduction of the new technologies in the productive system and in the communication. Has it this strength? Which are the limitations (contraints ?) and the challenges? How to resolve the divorce between the development of knowledge and the restricted opportunities of access? How to guarantee education for all if the government resources are more and more scarce and reduced and the media aren’t yet socialized in Brazil? About this setting we’ll think. Keywords: distance education, globalization, function of education, mass media.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.009
Science and technology studies0.0030.007
Scholarly communication0.0100.007
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.053
GPT teacher head0.358
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2019
Admission routes1
Has abstractyes

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