Programas de formación docente y estrategias de intervención en altas capacidades/superdotación: Revisión sistemática de literatura
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.
Bibliographic record
Abstract
Abstract: Teacher training in high intellectual abilities/giftedness constitutes a great challenge in education, which allows for a pedagogical response that provides intellectual challenges and emotional support to ensure the comprehensive well-being of high-potential students. To achieve adequate teacher training, initial and continuing training programs are needed. This article aims to characterize the programs designed to prepare teachers to care for students with ACI and identify the strategies that allow them to address their cognitive, creativity and emotional adaptation needs. The methods have been used: raw, inductive, deductive and matrix, for the analysis and extraction of the contents and data of the scientific articles and theses, between January 2010 to December 2023, recovered from the bibliographic bases of Scopus, Web of science, ProQuest and Google Scholar 77 publications were recovered and 30 articles and theses from different European countries, Canada, the United States and Latin countries were selected. that met the inclusion criteria. The extracted data included: the objective of the program, teaching competencies, content, attention strategies and results of the intervention. This review shows that the programs integrate contents such as: ACI theoretical framework, detections and curricular enrichment strategies based on the theoretical model of high performance, cognitive and sociocultural. Teachers who are trained improve their attitude and feel more confident in the execution of projects; while students develop research skills and enhance their creativity. Keywords: high capacities; creativity; teachers; sinclusion; programs.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it