Mathematics and Science Subjects in Construction Management Baccalaureate Programs
Bibliographic record
Abstract
This study analyzes credit-hours of mathematics and science subjects in the American Council for Construction Education (ACCE) accredited bachelor’s degree programs in Construction Management (CM). As per the current ACCE standards, a graduate of a CM program is required to complete 3 and 6 Semester Hours (SHs) in Mathematics and Science, respectively. An analysis of the credit-hours in the 75 accredited programs shows that more than 90 percent of the programs require a student to complete more hours in these subject than the required 9 SHs. The analysis also shows that 72 percent of the programs require 6 SHs or more in Mathematics and 79 percent of the programs require 8 SHs or more in Science. A strong presence of mathematics and science subjects in the CM programs indicates that the programs are striving to equip the graduates with skills in data analysis, model building, and research and innovation. Moreover, these subjects equip the graduates for a continuous academic inquiry and prepare them to understand and appreciate the natural world. The results indicate that the CM programs make a strong case for science, technology, engineering, and math designation.
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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".