Bibliographic record
Abstract
This paper reports on a project based learning approach taken to teach the ECE 3740 Systems Engineering Principles and ECE 3730 Principles ofEmbedded Systems Design courses at the University of Manitoba. These courses were 100% hands-on, and each student was given development hardware and software in a lunch box to take home and work on projects throughout the course. Industry representative projects were chosen based on the author’s 5 years of experience working in the embedded systems industry. The courses were given in a company-like setting, where the lectures and laboratories were organized as product requirements gathering and analysis, design modeling and review, test plan and procedures, engineering change request and management, documentation, and product deployment meetings and events. The test and final exam were performed by students in the laboratory; they brought their embedded systems hardware in the lunch box,solved the given hands-on problems of the test/exam, and demonstrated their solutions, in real-time. This novel methodology allowed the examiner to directly assess student performance in the CEAB attributes of Design, Analysis, Investigation, and Tools, because their designsand solutions were actually demonstrated in actual hardware and software, not just on paper, like the conventional assessment approach for tests and exams.
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.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".