Breaking Boundaries: An Organized Revolution for the Professional Formation of Electrical Engineers
Bibliographic record
Abstract
An Organized Revolution for the Professional Formation of Electrical EngineersThe Department of Electrical Engineering at the University of South Florida is at the second year of its RED program.The main goal of the project is to change the department culture by transforming the existing traditional unidirectional Research-Teaching-Service model to a completely connected Research-Student-Practice one.There are several major tasks undertaken under the Organized Revolution: (1) The creation of Track Focused Advisory Boards (TFABs) for direct and impactful engagement of industry with the Electrical Engineering program; (2) the development of a novel faculty teaching evaluation process with direct engagement of student and industry review teams; (3) the launch of a new course series, Professional Formation of Engineers 1, 2, and 3 to provide electrical engineering students with professional skills and career development guidance to broaden their education experience and support them in better understanding their discipline and potential future careers; (4) Study of the impact of action-state orientation on student success.An overarching theme for the project is that the new completely connected department model will engage all stakeholders in sharing the responsibility to empower students to Take Responsibility to Understand Engineering (TRUE).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".