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Record W2801175059

Iniciación al álgebra en Educación Infantil a través del pensamiento computacional: una experiencia sobre patrones con robots educativos programables

2018· article· es· W2801175059 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.

fundA Canadian funder is recorded on the work.
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

VenueUniversitat de Girona Digital Repository (Universitat de Girona) · 2018
Typearticle
Languagees
FieldComputer Science
TopicEducational Innovations and Technology
Canadian institutionsnot available
FundersNational Agricultural Research OrganisationInternational Development Research Centre
KeywordsHumanitiesPhilosophySociologyComputer sciencePedagogy
DOInot available

Abstract

fetched live from OpenAlex

El objetivo de este artículo es presentar las primeras orientaciones didácticas para desarrollar el razonamiento algebraico en Educación Infantil a través del pensamiento computacional, usando la robótica como recurso. A partir de los vínculos entre estos aspectos y el análisis de una experiencia con robots educativos programables para trabajar los patrones en 3-4 años, se establecen cinco recomendaciones iniciales en el marco de la educación STEAM: 1) plantear fenómenos relevantes, basados en la resolución de problemas; 2) fomentar procesos de razonamiento mediante buenas preguntas; 3) impulsar la interacción, la negociación y el diálogo; 4) vincular conocimientos de distinta naturaleza; 5) plantear la representación como medio para comprender, estructurar, capturar y transferir conceptos.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
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 score0.709
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0010.005
Open science0.0030.001
Research integrity0.0010.001
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 head0.009
GPT teacher head0.256
Teacher spread0.248 · 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