MétaCan
Menu
Back to cohort
Record W4416723172 · doi:10.52501/cc.352.03

B-learning: Aula invertida para el aprendizaje de los verbos “ser” y “estar” en estudiantes de español como lengua extranjera

2025· book-chapter· W4416723172 on OpenAlex
Luis José Pardo Borraez, María Angélica Acosta Naranjo, Jairo Alberto Galindo Cuesta

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEdiciones Comunicación Científica eBooks · 2025
Typebook-chapter
Language
FieldPsychology
TopicHealth, Education, and Physical Culture
Canadian institutionsnot available
Fundersnot available
KeywordsForeign languageSecondary educationMale gender

Abstract

fetched live from OpenAlex

Este capítulo presenta los resultados de una investigación que evalúa la efectividad del modelo ‘b-learning’ y la estrategia del aula invertida en la enseñanza de los verbos “ser” y “estar” a estudiantes de español como lengua extranjera en el colegio Halifax County High School. Se utilizó la plataforma Canvas para facilitar la implementación de módulos educativos con actividades interactivas. La investigación se desarrolló bajo una metodología cualitativa y un diseño de estudio de caso, empleando herramientas de recolección de datos como entrevistas, cuestionarios y análisis documental. Los resultados mostraron que, aunque algunos estudiantes continuaron enfrentando dificultades para distinguir los usos y formas de los verbos “ser” y “estar”, el modelo b-learning, combinado con la estrategia del aula invertida, mejoró significativamente su comprensión y aplicación. Los módulos interactivos permitieron a los estudiantes aprender de forma autónoma y a su propio ritmo, mientras que las actividades colaborativas fortalecieron la interacción y el aprendizaje compartido.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.337
Teacher spread0.311 · 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