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Record W2114865387 · doi:10.5935/reeduc.v12i28.1537

Coconstrução dos conhecimentos no uso das tecnologias educativas: Reflexões éticas

2015· article· pt· W2114865387 on OpenAlexaff
Milton Campos

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Nesse artigo teórico, ancorado em pesquisas empíricas, discutimos a problemática da ética na educação, notadamente no que diz respeito ao papel do desenvolvimento tecnológico. No texto, partimos dos conceitos de “construção” e “coconstrução”, focalizando nesse último por conta de sua proximidade com as tecnologias da informação e da comunicação. Os conceitos de construção e coconstrução são elucidados através de uma recapitulação do lugar que ocupam em filosofias e abordagens psicológicas, de Kant à psicologia cognitiva contemporânea, e também através da comunicação. Para tanto, apresentamos os fundamentos da teoria comunicativa da ecologia dos sentidos, desenvolvida através da integração da filosofia construtivista e construtivista-crítica, e da psicologia construtivista e socioconstrutivista. Graças a essa abordagem, discutimos como as trocas comunicativas estão relacionadas à problemática moral e ética das interações. Finalmente, explicamos como, a nosso ver, as tecnologias educativas podem habilitar os participantes das interações a expressar intenções de se coconstruir conhecimentos, ressaltando o lugar da ética nesse processo discursivo multilinguajeiro.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.365
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.002
Scholarly communication0.0050.005
Open science0.0080.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.001

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 head0.590
GPT teacher head0.664
Teacher spread0.074 · 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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