MétaCan
Menu
Back to cohort
Record W4398165642 · doi:10.55905/cuadv16n5-072

O impacto da produção de material autoral digital educacional na aprendizagem de estudantes do ensino médio sobre fisiologia humana

2024· article· pt· W4398165642 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCuadernos de Educación y Desarrollo · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsQuest University Canada
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

A abordagem fragmentada dos Sistemas sobre Fisiologia Humana no Ensino Médio (EM) culmina em problemas de aprendizagem em Biologia. O objetivo é comparar o processo de aprendizagem de estudantes do 3º ano (EM) produtores de Materiais Autorais Digitais Educacionais (MADEs) em relação aos que assistiram aos MADEs em formato de vídeo sobre Fisiologia Humana. A pesquisa é qualitativa e quantitativa. A coleta de dados ocorre com a aplicação do Questionário Inicial, da Sequência Didática e do Questionário Final junto a 11 estudantes. A análise de dados é interpretativa com uso de triangulação metodológica e Estatística Básica. Os participantes que produziram os vídeos apresentaram desempenho superior em seu processo de aprendizagem quando comparados aos participantes que apenas assistiram-nos.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0070.002
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.061
GPT teacher head0.379
Teacher spread0.318 · 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