Bibliographic record
Abstract
Recently, an education method called Problem/Project Based Learning has attracted much\nattention. This education program based on learners' experiences was developed in McMaster\nUniversity (Canada) for education in the faculty of medicine in 1969, and a lot of higher education\nfacilities have introduced this method in various fields because of its usefulness. In Fukui National\nCollege of Technology, a PBL style class "experience program for creative engineering" that students\nmanufacture robots that solve given game problem has been introduced. This class was introduced in\n1992 and has been done 17 times by 2008. So, this affects not only the students but also curriculum\nideas in the department of mechanical engineering. However, any systematic evaluation for this class\nhave not been done till the present. Therefore, the authors study this class from the viewpoint of the\nquestionnaire results and affect to curriculums.
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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 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".