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Uso de las TIC en la educación

2022· book-chapter· es· W4382568869 on OpenAlexaff
Sandra Jazmín Albarracín Aguilar, Marisol Esperanza Cipagauta Moyano, Nataly Hinestroza Rojas, Óscar Javier Rey, Alexander Vargas Vargas, Ana María Zapata Ospina

Bibliographic record

Venuenot available
Typebook-chapter
Languagees
FieldComputer Science
TopicEducational Innovations and Technology
Canadian institutionsCanadian Automotive Partnership Council
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Las TIC son un medio de expresión y/o comunicación para la transformación. Mediante el uso de procesadores de palabras, editores gráficos, presentaciones multimedia, etc., facilitan el trabajo colaborativo para el procesamiento de la información. Teniendo en cuenta lo anterior, se hace necesario que los docentes tengan formación en el uso de herramientas tecnológicas desde sus primeros pasos, pues resulta beneficioso para él y para sus estudiantes. La enseñanza no es eficaz si el docente no sabe cómo utilizar adecuadamente las TIC. El fortalecimiento tecnológico y pedagógico permite que los maestros vayan más allá del uso de tecnologías solo para realizar tareas administrativas, y las implementen en el desarrollo práctico de las actividades pedagógicas directamente relacionadas con los estudiantes. En este orden de ideas, se pretenden dar a conocer resultados obtenidos a través de encuestas y entrevistas semiestructuradas que fueron aplicadas en diferentes instituciones educativas a sus diferentes miembros.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.004
Scholarly communication0.0080.005
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0210.006

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 head0.020
GPT teacher head0.281
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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Citations0
Published2022
Admission routes1
Has abstractyes

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