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Record W1504974650 · doi:10.31428/10317/9460

Física interactiva: nuevos recursos para evaluar el aprendizaje significativo

2024· article· es· W1504974650 on OpenAlex
Escobar García Isabel María, Arribas Garde Enrique, Suárez Rodríguez Carmen del Pilar, Nájera López Alberto, Beléndez Vázquez Augusto

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldComputer Science
TopicEducational Technology in Learning
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsHumanitiesComputer sciencePolitical scienceArt

Abstract

fetched live from OpenAlex

[SPA] Moodle es una aplicación web del tipo Plataforma de Gestión del aprendizaje que permite crear comunidades de aprendizaje en línea. Este tipo de plataformas tecnológicas también se conoce como LMS (Learning Management System). En este trabajo, de las numerosas posibilidades de Moodle, nos centraremos en el módulo denominado cuestionario que permite crear una lista de preguntas que el alumnado debe responder para obtener una calificación. Existe una amplia variedad de tipos de preguntas (opción múltiple, verdadero/falso, respuestas cortas, etc.) que se pueden añadir a un cuestionario. De todas las opciones, nos ajustaremos a las preguntas de Opción múltiple, es decir, las clásicas preguntas “tipo test” donde se muestra un listado de posibles respuestas entre las que se debe escoger la que se considere correcta.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.008

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 head0.039
GPT teacher head0.378
Teacher spread0.339 · 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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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