CHALLENGING STUDENTS TO REDISCOVER ENGINEERING
Bibliographic record
Abstract
The "Conrad Games in Engineering" encourages engineering students to develop entrepreneurship and innovation mindsets. Through a series of lunchtime sessions, the games re-awaken the fun and creativity that once encouraged students to pursue engineering. Students form teams to work on a design challenge that is introduced at the start of a session. Students accumulate points for their teams and houses, i.e. engineering departments. The point system is specifically designed to encourage students to take calculated risks and to challenge themselves. Design challenges are specifically chosen to be fun, engineering activities that last no more than 20 minutes. Special challenge teams, composed of faculty, alumni, and staff are invited to compete against the students for an additional dimension of risk and reward. Students apply the experiential learning cycle by revisiting challenges with additional criteria. Through this iterative approach, the games reinforce good engineering practice as well as group collaboration, communication, creativity and leadership skills.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".