The Construction and Research of the Training Mode and the Mixed Teaching Method of Mechanical Engineering Specialty Based on the Achievement-oriented Education
Bibliographic record
Abstract
As an advanced education concept in the present time, the result-oriented education concept has been widely accepted in developed countries such as the United States and Canada, and is an important part of the development of education concept in the international community.The introduction and implementation of the achievement-oriented education concept is beneficial not only to the cultivation of engineering talents, but also to the cultivation of talents in domestic institutions of higher learning and education reform.This paper will focus on the idea of achievement-oriented education, and discuss the training mode of mechanical industrial engineering talents from the aspects of curriculum setting, teaching method and practice.Modern industry and the development of science and technology in the liberation of labor, the development of productivity greatly at the same time, also for the workers engaging in the production ability and quality put forward higher requirements, results oriented education concept in the United States and other developed countries have played an important role in education reform, for our country's personnel training and teaching management in colleges and universities has important inspiration significance.Education concept guides based on the results of mechanical industrial engineering personnel training mode, to accurately understanding results oriented education concept connotation, and, starting from the cultivation idea, scheme and so on many aspects of into education in colleges and universities teaching management practice, in the final goal of education of talent training on the implementation of more scientific and more productive.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".