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Record W2953218831 · doi:10.36524/saladeaula.v9i1.583

Bioensaio como Método de Aprendizagem Aliado à Teoria em Biologia no Ensino Médio

2020· article· pt· W2953218831 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

VenueRevista Eletrônica Sala de Aula em Foco/Sala de Aula em Foco · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsCascades (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophyPhysicsComputer science

Abstract

fetched live from OpenAlex

As atividades práticas podem ser um grande instrumento para melhorar o ensino-aprendizagem possibilitando uma melhor compreensão dos assuntos abordados. Assim, objetivou-se o uso de bioensaios como proposta de ensino aliada à teoria em Biologia, em turmas de ensino médio integrado. Para isso, realizou-se aplicação de questionários em duas turmas de segundos anos, de modo a se avaliar a aprendizagem; realização de experimento (bioensaio) em aula; e, por fim realizou-se a reaplicação do questionário da primeira etapa, de modo que as últimas etapas serviram como instrumento de avaliação da aprendizagem dos discentes. Pode-se observar a importância das atividades práticas para o aprendizado, em que a maior parte dos alunos afirmam que aprendem melhor com a utilização de aulas práticas como método complementar às aulas expositivas e demonstrativas, contribuindo diretamente para o processo de ensino-aprendizagem.

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)0.009
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient 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 score0.121
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.006
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0050.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.006

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 head0.084
GPT teacher head0.381
Teacher spread0.297 · 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