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Record W2957340335 · doi:10.22370/ieya.2019.5.2.1430

Evaluación de la organización espacial de un aula desde la perspectiva de un grupo de estudiantes universitarios/as: un estudio de caso

2019· article· es· W2957340335 on OpenAlexaff
Katia Álvarez Díaz, José Ramón Márquez Díaz, Freddy Franco-Morales

Bibliographic record

VenueRevista Infancia Educación y Aprendizaje · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Este estudio es reflejo de la acuciante necesidad de la calidad e innovación de la práctica educativa en la formación del alumnado, donde la variable organizativa de toda acción pedagógica se considera un proceso complejo que sostiene la consideración de numerosos elementos: recursos, momentos y espacios en los que se desarrollan los procesos de enseñanza aprendizaje. El objetivo de la investigación es evaluar la organización espacial de un aula desde la perspectiva de un grupo de estudiantes universitarios/as. Para ello, durante el curso académico 2017/2018, a través de una metodología de corte cualitativo, se examina el caso de un aula universitaria. Se toma una muestra de 35 estudiantes. Para ello, se emplean diversas técnicas de investigación: entrevistas semiestructuradas y observación participante. Los resultados indican que, en general, la organización espacial del centro y, en particular, del aula ejerce un papel activo en todo proceso de enseñanza aprendizaje. En este sentido, la didáctica y la organización espacial deben unificarse para el correcto desarrollo integral del alumnado.

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 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)0.007
metaresearch head score (Gemma)0.004
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.002
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 head0.009
GPT teacher head0.327
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations2
Published2019
Admission routes1
Has abstractyes

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