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Record W4400091175 · doi:10.23977/aetp.2024.080424

Analysis of the Cultivation of Creativity and Expression Ability in Modular Teaching of Architecture Courses under the New Engineering Discipline: A Case Study of "Space Design and Expression"

2024· article· en· W4400091175 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Educational Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsExpression (computer science)CreativityModular designArchitectureSpace (punctuation)Mathematics educationEngineeringComputer scienceMathematicsPsychologyArtProgramming languageVisual arts

Abstract

fetched live from OpenAlex

The "Space Design and Expression" course plays a key role in cultivating creativity and expression abilities, significantly enhancing students' skills in these areas. These experiences provide valuable insights for the reform and development of other architecture courses. Additionally, this paper explores the importance of creativity and expression abilities in the field of architecture, proposing corresponding cultivation strategies using the "Space Design and Expression" course as an example. By adopting innovative teaching strategies and guiding practical projects, students can flexibly apply theoretical knowledge in real design scenarios, effectively enhancing their creativity and expression abilities and showcasing their design results in various ways. The paper also emphasizes the importance of cross-disciplinary collaboration and communication in enriching students' design concepts and expression skills. Finally, the paper envisions the future development of architecture courses, highlighting key trends such as technological integration and innovation, interdisciplinary integration and cooperation, globalization perspectives and international exchange capabilities, as well as continuous learning and self-improvement. These forward-thinking considerations provide useful references for the innovation and development of architectural education.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.425
Teacher spread0.403 · 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