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Record W2771398011 · doi:10.21556/edutec.2017.61.929

Formación investigativa en estudiantes de pregrado mediante entornos de aprendizaje móvil con APPS

2017· article· es· W2771398011 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

VenueEdutec Revista Electrónica de Tecnología Educativa · 2017
Typearticle
Languagees
FieldComputer Science
TopicEducational Innovations and Technology
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este estudio implementó un entorno de aprendizaje personalizado en contextos móviles, constituyéndose en un aporte en la formación investigativa a nivel de pregrado. El método es la investigación cualitativa de enfoque investigación-acción educativa. El propósito general apunta a mostrar como un entorno de aprendizaje móvil mediante Apps, contribuye a la formación investigativa de los estudiantes de pregrado adscritos a semilleros de investigación de la Fundación Universitaria de San Gil sede Yopal. Los resultados alcanzados en cuanto potencialidad educativa indican que esta es escasa en el grupo analizado. El entorno móvil aplicado mostró un mejoramiento en la interacción como condición para la creación de conocimiento y los componentes de la estrategia pedagógica esbozada son el diseño instruccional, los fundamentos educativos, la perspectiva de las actividades propuestas, los recursos didácticos y la secuencia de aprendizaje.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0070.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.323
Teacher spread0.303 · 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