Bibliographic record
Abstract
Building Information Modelling (BIM) enables the Civil engineers professional to accomplish the digital requiremnts and also the integration and collaboration on the elaboration of projects and maintenance of buildings. BIM methodology is currently the main subject of investigation and application in the construction industry and the education have been exploring the introduction of this issue in curricular programs. The students of civil engineering and architecture, as future professionals, must updated their skills with the most recent innovative technology and knowledge. Several academies better classified within the architecture and engineer sector, were selected and its curricular programs were analyzed: the didactic strategies of inserting BIM teachings are similar in the main concept and practice, but depending of the expertize of the school, the aspects related to architecture, structures, construction or planning are deeper taught; the level cycles of introduction BIM (bachelor, master or postgraduate), the professional courses offered to architects and engineeres and the main subjects were discussed. The principal aim of the curricular research is the characterization of BIM education in distinct academies. A resume of actions and organization of topics that promotes an adequate updating of the students skills was achived, helping BIM educators in their activity.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".