Student Perceptions of Learning and Professional Development through Participation in a Quarter-Scale Tractor Design Competition
Bibliographic record
Abstract
This article reports on a descriptive study of student and alumni perceptions of what they learn through participation in the ASABE Quarter-Scale Tractor Design Competition (2010). The Illini Pullers in the Department of Agricultural and Biological Engineering at the University of Illinois at Urbana-Champaign have been engaged in this tractor design competition since 2001. In this study the researchers used surveys and interview protocols to elicit students' reflections and perspectives on their learning experiences in the Illini Pullers. Results indicate that the skills, knowledge, and attitudes that participants report developing through this organization and competition are consistent with desired outcomes of undergraduate education specified by ABET and other higher-education agencies. Data from surveys of alumni of this organization provide insights into the perceived longer-term impact of their experiences on their professional lives. Implications for those who desire to understand, motivate, and enhance such co-curricular endeavors are considered.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".