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Record W2165092092 · doi:10.60020/1853-6530.v1.n1.235

Formación de docentes a través de la resolución de un problema biotecnológico en un ambiente de aprendizaje colaborativo mediado por computadora

2010· article· es· W2165092092 on OpenAlex

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

VenueVirtualidad Educación y Ciencia · 2010
Typearticle
Languagees
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La inmersión del impacto social de la Biotecnología en la escuela exige de los profesores una actualización constante. En la búsqueda de propuestas de formación los docentes demandan estrategias que les permitan introducir estos conceptos de manera renovadora en el aula. Para dar respuesta a esta necesidad diseñamos un curso de capacitación docente en un contenido disciplinar específico de Biotecnología: plantas transgénicas. La estrategia implementada fue el Aprendizaje Basado en Problemas en un ambiente de aprendizaje colaborativo mediado por las Tecnologías de la Información y la Comunicación. La capacitación se centró en la resolución de un problema abierto de manera colaborativa en grupos de cuatro personas, en los que cada integrante debía cumplir un rol específico para la resolución del problema. Los resultados de la aplicación de esta experiencia y sus consideraciones didácticas se discuten en este artículo.

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)0.015
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.303
Teacher spread0.298 · 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