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Record W2901111723 · doi:10.22456/1679-1916.85903

AVALIAÇÃO DE UM CHATBOT NO CONTEXTO EDUCACIONAL: UM RELATO DE EXPERIÊNCIA COM METIS

2018· article· pt· W2901111723 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRENOTE · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsMetisChatbotContext (archaeology)HumanitiesSociologyPsychologyPedagogyComputer sciencePhilosophyWorld Wide WebHistory

Abstract

fetched live from OpenAlex

Este artigo relata o experimento de uso do chatbot Metis como apoio às atividades de educação a distância. Apresenta-se relatos sobre o desenvolvimento de chatbot educacional Metis (Mediadora de Educação em Tecnologia Informática e Socializadora) e sobre a estratégia pedagógica de alimentação da base de conhecimento do chatbot, com a participação dos alunos. Descreve-se a avaliação do chatbot sob um viés pedagógico que envolveu a análise das interações e a construção de cinco categorias, construídas a partir de questionário on line. Os resultados mostraram que mesmo em fase inicial de implementação, a agente Metis alcançou resultados satisfatórios quanto à eficiência de diálogo e influência no engajamento dos alunos, na turma investigada.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.316
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.004

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 head0.096
GPT teacher head0.405
Teacher spread0.310 · 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