On the Necessary and Sufficient to Efficient Use of Software in the Teaching of Chemical Engineering
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.
Bibliographic record
Abstract
The development of computers brought an increase in the number of software programs with a great potential to assist in the task of teaching engineering, among them are: Mathcad®, Mathematica®, Matlab®, Maple™ and Polymath. Several articles have been published with the aim of demonstrating the advantages of using these softwares, as well comparing their performance. The most recent books have clearly indicated the importance of these tools in engineering. Even so, however, the computer has not become a strong helper of the student in solving more complex engineering problems. The point of view presented in this article is a result of over twenty years of teaching in Chemical Engineering. In our opinion, the fact that students know to use a specific software program (syntax) is a necessary condition for solving engineering problems, but not sufficient if the student do not think in a systematic way. The methodology recommended in this article is applied for the resolution of the problem in modules and can be used in both simple and complex problems.
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 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 | 0.001 | 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 | 0.001 | 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 it