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Record W4383212916 · doi:10.51361/somma.v4i2.125

Magnestismo planetário: uma nova abordagem didática para o ensino de Física no Ensino Médio

2018· article· en· W4383212916 on OpenAlexaff
Aysllan de Sousa Sobrinho, Wemerson José Alencar

Bibliographic record

VenueSomma Revista Cientifica do Instituto Federal de Educação Ciência e Tecnologia do Piauí · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsCurriculumMathematics educationPresentation (obstetrics)PsychologyAction researchPedagogyPhysics

Abstract

fetched live from OpenAlex

The contents of Physics are generally little explored and presented through dogmatized concepts and mathematical equations that make the teaching-learning process of this Science uninteresting. In this sense, the present work seeks to justify the insertion of planetary magnetism topics in the contents of High School Physics, as it is a significant didactic, exploratory, perfecting, important and motivating topic of knowledge acquired in Elementary School and beginning of High School. For this purpose, an action research was used as a methodological focus with the aim of investigating and intervening in the research process, through the presentation of a didactic proposal, applied with 20 students of the 1st year of the Integrated Technical Teaching in Administration and Informatics of Middle Level of the IFPI/Campus Angical, suggestive to Physics teachers regarding the application of the content in the educational space, whose nature of the research is of the qualitative type. The analysis and interpretation of the data obtained after the sequence highlight a good reception regarding the object of knowledge indicated for insertion in high school, since the students actively participated in the classes arguing and correctly answering the indicated questionnaire, where the students consolidated and expanded their conceptions on the magnetic field of the planets, thus demonstrating significant learning. In addition to national curriculum documents, the work was supported by the theoretical frameworks of Ausubel (1973, 2001), Moreira (2017), Correia (2007), Moreira and Masini (2006), among others.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0070.006
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.065
GPT teacher head0.378
Teacher spread0.313 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2018
Admission routes1
Has abstractyes

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