Evaluation of a chatbot in the educational context : an experience with Metis
Bibliographic record
Abstract
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 sobum 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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".