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Record W4380051326 · doi:10.1344/ridas2023.15.2

Aprendizaje-servicio: abriendo caminos de sentido desde el aprendizaje basado en retos

2023· article· es· W4380051326 on OpenAlexaff
Dides Iliana Hernández-Silvera, Mariela Alejandra Ghilardelli, Mariana Damonte

Bibliographic record

VenueRIDAS Revista Iberoamericana de Aprendizaje y Servicio · 2023
Typearticle
Languagees
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Durante la postpandemia derivada de la COVID-19 y con la paulatina incorporación social después del aislamiento preventivo obligatorio se llevó a cabo un proyecto educativo de aprendizaje-servicio, mediante talleres virtuales de estimulación cognitiva a adultos mayores con fines a potenciar el ejercicio cerebral en beneficio del aprendizaje cotidiano. Este trabajo tiene por objetivo describir y analizar el ofrecimiento didáctico y las acciones correspondientes a la Clínica Psicopedagógica en adultos mayores, por parte del alumnado del último año de la carrera de Licenciatura en Psicopedagogía, en la Universidad Católica Argentina. La experiencia reúne la metodología de aprendizaje-servicio y el enfoque de aprendizaje basado en retos con la doble intención de desarrollar competencias en el marco de las prácticas preprofesionales y brindar un servicio según demanda. El estudio transversal descriptivo realizado estimó el impacto de la propuesta en ambos grupos. Los datos fueron recogidos mediante un muestreo por conveniencia. Participaron en la propuesta 88 adultos de grupos pastorales de Argentina y otros países de Sudamérica (Ecuador, Perú, Venezuela, Guyana, Honduras) y una participante de España (87% mujeres y 13 % hombres), entre 30 y 91 años (M= 3.22; DE= 1.4).

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)0.003
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.007
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0040.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.012

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 head0.016
GPT teacher head0.360
Teacher spread0.344 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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