Simulating dynamically: A longitudinal and practical simulation approach for students
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
Abstract Students identified a lack of practical applications for the theoretical concepts taught as a key weakness for some classes in our chemical engineering undergraduate program. We have thus implemented a new simulation tool to help overcome these weaknesses: A dynamic process simulator based on a carbon dioxide capture plant. Aspen Simulation Workbook, a recent tool developed by AspenTech © is used in a novel approach to implement a user‐friendly interface based on Microsoft Excel. Exercises incorporating the use of the simulator were developed to cover the main concepts taught in chemical engineering. Longitudinal implementation of the simulator within the curriculum recently began and should be completed over the coming semesters. Student and instructor feedback was collected by means of surveys. Based on the information collected, using the simulator improves comprehension of key concepts taught throughout the curriculum. Feedback analysis also helped identifiy needs for future exercises and avenues for improvement.
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 | 0.000 | 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 it