Development of a Teaching Case Library for Modern Testing Techniques and Applications Targeted at Professional Degree Graduate Students
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To address the limitations in the teaching cases of the "Modern Testing Techniques and Applications" course, which often focus on isolated knowledge points and outdated application contexts, this paper develops a comprehensive case library. The library compiles cases from the forefront of engineering testing research, industrial production practices, and the research outcomes of project team members. It is tailored for graduate students in mechanical engineering, integrating practical engineering applications, cutting-edge academic research, and broad content coverage. Furthermore, this paper examines the implementation process, teaching format, and key features of case-based instruction. Through this approach, students can gain insights into the latest advancements in the field, engage with real-world industrial practices, and enhance their engineering skills and innovation capabilities.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it