DESIGN TEAM PERFORMANCE: A COMPARISON BETWEEN SELF-FORMED TEAMS AND TEAMS WITH DIVERSE COGNITIVE MODES
Bibliographic record
Abstract
The impact of cognitive mode diversity on team performance and student satisfaction was assessed qualitatively and quantitatively in a capstone chemical engineering design course. In the capstone design course, students were permitted to form their own teams and the distribution of cognitive modes was assessed. In a concurrent design course, the same group of students performed projects in instructor-formed teams that optimized the distribution of cognitive modes. The results indicated no significant difference in team satisfaction between teams that had different levels of cognitive diversity. Although trends seemed to indicate higher rank in the course and greater independence and creativity for groups with higher cognitive diversity, these differences were not statistically significant. Generally, students seemed to have similar experiences in student-formed and instructor-formed groups. However, qualitative comments seem to indicate that groups may have worked more professionally and cohesively in the more cognitively-diverse, instructor-formed groups.
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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 | 0.000 |
| 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".