Common Mistakes and Countermeasures of Using Learning Material in the Project-Driven Applicational Technology Courses—Taking the Teaching of Air Conditioning Course as an Example
Bibliographic record
Abstract
Project-driven teaching is an improvement of traditional teaching method based on knowledge-driven system. It emphasizes that the teaching process is driven by the implementation of the project, rather than based on traditional textbooks. Therefore, there are some disputes about how the textbook should play its role correctly in the project-based teaching. In the process of implementing project-based teaching, some views hold that since it is driven by project, it is nature to abandon the traditional textbooks; others, on the other-hand, continue to organize teaching only or at least mainly based on textbooks. The third part of people think that the project-based curriculum must have special Project-based Curriculum textbooks, so the textbook should be written as an operation manual according to the project order. The author makes a detailed analysis of the three views on the use of textbook in the project-based curriculum, and then puts forward my own views.
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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 | 0.020 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".