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Record W3118600658 · doi:10.5821/jida.2020.9308

Muéstrame Málaga: un recorrido por la historia de la arquitectura guiado por el alumnado

2020· article· es· W3118600658 on OpenAlexaff
Víctor Miguel González Vera

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldArts and Humanities
TopicArchitecture, Art, Education
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Dentro del estudio de la aportación y beneficios de la enseñanza de historia de la arquitectura a los estudiantes de Diseño de Interiores, este artículo muestra una experiencia educativa aplicada en Málaga. Se propone al alumnado realizar en equipo una investigación durante todo un semestre sobre un edificio de la ciudad. Al final del mismo, los estudiantes asumen el liderazgo y se convierten en guías de una visita al edificio realizada en grupo. Los propios estudiantes autoevalúan su aprendizaje y evalúan las intervenciones de los compañeros. Los resultados muestran altos índices de percepción de aprendizaje: se confirma que el alumnado reconoce un buen aprendizaje de los conceptos históricos, muestra un mayor conocimiento de los valores de la arquitectura local, es capaz de transmitir su conocimiento al resto reforzando su propio aprendizaje y se produce aprendizaje en grupo, lo que favorece la integración social. La experiencia es exportable a otras ciudades. Focused on the research into the contribution and benefits of teaching History of Architecture to Interior Design students, this paper exhibits an educational experience conducted in Malaga. During a semester, the class is divided into teams and they are each proposed to investigate a building. At the end of the semester, the students take the lead and become tour guides in a visit to the building along with their schoolmates. They self-evaluate their learning while they also assess the performances of their colleagues. The results show a high rate of learning perception: it is confirmed that the students acknowledge a good learning of historical concepts, there is a better expertise about local architecture values, and they are capable of transmitting their knowledge to the class improving their own learning. Hence, group learning is present, which improves social integration. The experience can be exported to other towns.

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)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.018
GPT teacher head0.252
Teacher spread0.234 · 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
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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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