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Experiencia de aplicación del sistema SOLECON como herramienta tecnológica para la enseñanza de energías alternativas en niños de educación inicial

2020· article· es· W3096091803 on OpenAlexvenueno aff
Carmen Elena Mantilla Cabrera, Ruth Genoveva Barba Vera, Alex Galarza

Bibliographic record

VenueConcienciaDigital · 2020
Typearticle
Languagees
FieldPsychology
TopicEducational methodologies and cognitive development
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Hoy en día se sabe que la estimulación temprana es un factor fundamental en el desarrollo de habilidades sociales en los niños de edad escolar mediante una gama amplia de actividades que inciden en su desarrollo integral y se ponen de manifiesto en su conducta. Siendo el ser humano un ser que resuelve sus necesidades básicas en relación con su entorno adquiriendo vínculos afectivos. El presente estudio examinó el papel de un tema complejo y el panorama para facilitar su doctrina en una muestra (N=30) de preescolares del Centro de Educación Inicial: “José Ernesto Vallejo”, ciudad Riobamba – Ecuador, a quienes se observó por un registro previamente estructurado. Del análisis se calificaron cualitativamente tres parámetros dentro de su competencia cognitiva: Iniciado, en Proceso y Adquirido, lo cual permitieron entender mejor, como a través del uso de estas herramientas se puede enseñar lúdicamente una ciencia dificultosa de aprender a temprana edad.

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)0.002
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.091
GPT teacher head0.393
Teacher spread0.302 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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