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Record W4392832798 · doi:10.55420/2693.9193.v7.n1.237

El Impacto de la Integración de Tecnología en el Campo de la Educación

2016· article· es· W4392832798 on OpenAlexaff
Janet Martínez

Bibliographic record

VenueHETS Online Journal · 2016
Typearticle
Languagees
FieldComputer Science
TopicEducational Innovations and Technology
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex


 
 
 La intencio?n principal de este estudio es investigar las demandas de tecnologi?a en el mercado de trabajo actual y establecer un plan para mejorar la alfabetizacio?n, en materia de tecnologi?a de los estudiantes, en una institucio?n de educacio?n superior como es South Texas College. La alfabetizacio?n tecnolo?gica es un factor importante en el e?xito de los estudiantes y un agente de cambio del sistema educativo. El impacto que tiene la tecnologi?a en la sociedad en general; se ha establecido en estudios anteriores como una necesidad inminente de los estudiantes de alfabetizarse tecnolo?gicamente para permitirles cumplir con las demandas que actualmente la fuerza laboral exige. El marco teo?rico de este estudio se centra en la teori?a social de Toffler. La teori?a social de Toffler ha explorado los precedentes histo?ricos de la capacidad de los seres humanos para adaptarse al cambio, haciendo hincapie? en la tecnologi?a como un agente de cambio.
 
 

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.370
Teacher spread0.359 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

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