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La retroalimentación y su influencia en la consolidación de aprendizajes en proceso, de niños y niñas de Educación Inicial.

2020· article· es· W3095697462 on OpenAlexvenueno aff
Allison Michelle Llerena Espín, Irelys Sánchez Fernández, Yoel Hernández Navarro

Bibliographic record

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

Abstract

fetched live from OpenAlex

El objetivo central es investigar cómo el proceso de retroalimentación en conjunto con los padres ayuda a la consolidación de aprendizajes en procesos, pudiendo de esta manera evitar que los niños y niñas se sientan frustrados en cuanto a no obtener un aprendizaje que el resto ya consiguió. Este proyecto utilizó un enfoque cuantitativo para tener acepciones exactas de lo que se está presentando, con una población de 65 niños y niñas de Educación Inicial, a quienes se aplicó una ficha de observación y sus 6 docentes, a quienes se les aplicó un cuestionario para recolectar datos precisos que sirvieron para efectuar el análisis correspondiente. De igual manera, se realizó la verificación de hipótesis por medio del estadístico Tau_b de Kendall, dando como resultado su validación. Se explica con precisión cómo se cumplieron los objetivos planteados en el proyecto de investigación. Para finalizar se brindan conclusiones y recomendaciones de la investigación.

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)0.021
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.045
GPT teacher head0.378
Teacher spread0.333 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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