Formalizing a Construction Planning Framework to Facilitate Construction-Centric BIM Education and Practical Application
Bibliographic record
Abstract
This chapter proposes a new construction planning framework that integrates design, material, quantity, method, crew, productivity, rate, time, and cost for detailed construction planning. This framework can assist students in understanding construction projects from product-centric and process-centric perspectives and in learning how to integrate product and process to fulfill detailed construction planning needs. The proposed framework’s effectiveness in construction management education has been validated through experiments in teaching a construction planning course at the University of Alberta. The proposed construction planning framework is intended for immediate application in construction planning by training new civil engineers and guiding practicing estimators to take advantage of building information modeling (BIM) models. Most BIM models provide 3D representation of a centralized database containing design-related information of a facility. Quantity takeoff (QTO) quantities of design elements are measured based on the design drawings or 3D models.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".