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Record W4417497267 · doi:10.14422/9788473992190.010

Adaptación de las cartas de rol como herramienta para el autoconocimiento y el conocimiento mutuo

2025· book-chapter· W4417497267 on OpenAlexaboutno aff

Bibliographic record

VenueUniversidad Pontificia Comillas eBooks · 2025
Typebook-chapter
Language
FieldSocial Sciences
TopicHigher Education Teaching and Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsPoison controlPerspective (graphical)

Abstract

fetched live from OpenAlex

A continuación se presenta una experiencia docente implementada en la asignatura “Desarrollo de la personalidad docente”, en los grados de Educación Infantil y Primaria impartidos en el Centro de Enseñanza Superior Alberta Giménez (CESAG), que busca fortalecer competencias intrapersonales e interpersonales vinculadas al autoconocimiento y el conocimiento mutuo. La propuesta surge de la adaptación de un taller realizado en el Hospital de Día del Institut Balear de Salut Mental de la Infància i l’Adolescència (IBSMIA). En la asignatura, esta idea se transforma en dos productos: la “carta de personaje” y la “carta de superpoder”, integradas en el Portafolio de Pareja Pedagógica (PaPe). A través de diferentes dinámicas y de algunos elementos propios de los juegos de rol, el alumnado reflexiona sobre sus fortalezas, áreas de mejora y formas de colaboración. Los resultados muestran que este formato promueve un autoconocimiento más profundo, contribuyendo a la prevención de conflictos y al fortalecimiento del compromiso profesional. La colaboración con el IBSMIA permitió además sensibilizar al alumnado sobre la salud mental infantil y juvenil, subrayando la necesidad de integrar esta dimensión en la formación docente. En conjunto, la experiencia demuestra el valor del autoconocimiento y de las metodologías creativas en la construcción de la identidad profesional del futuro profesorado.

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)0.005
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), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.906
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0040.002
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.042
GPT teacher head0.345
Teacher spread0.304 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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