The Development of GENE 101 – A ‘Strategies and Skills for Academic Success’ Course for First Year Engineering Students at Waterloo
Bibliographic record
Abstract
As a way to help ease the struggles thatstudents face in the transition from high school intouniversity, the Engineering Faculty at the University ofWaterloo started a reduced load program in 2010. Duringtheir first term at Waterloo, engineering students who arein academic jeopardy after midterms can drop twoprescribed courses to give the students an opportunity tofinish the term on a successful note. The two droppedcourses are taken during the following spring term alongwith a third course, GENE 101 – Strategies and Skills forAcademic Success. After successfully completing thereduced load terms, the students return to a full load.GENE 101 is considered a foundational success course.This paper will look at the curriculum and structure of thecourse and the impact it has had on engineering students.At the time of this writing, two groups of students who tookGENE 101 and the reduced load program have graduatedfrom Waterloo as engineers.
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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 | 0.001 | 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 | 0.000 | 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".