The Development Status of Sino-Foreign Cooperative Education Programs in Higher Vocational Education Based on Quantitative Data Analysis
Bibliographic record
Abstract
On the basis of the program list released by the Ministry of Education in China, there are 893 Sino-foreign cooperative programs in higher vocational education nationwide, with a total enrollment scale of 67,715 students. The regional distribution displays a decrease from the eastern area to the western area on educational programs and enrollment scale. A total of 228 majors are enrolled in the program, among which Accounting is the most popular, followed by Computer Application Technology. The convergence of specialty settings is serious. Jiangsu has the most foreign-partner universities, followed by Zhejiang and Shandong. In the same province, municipality and autonomous region, the number of foreign-partner universities is generally more than that of Chinese partner universities. Foreign partner universities are mainly from Australia, Canada, the United Kingdom and the United States, mainly in developed countries. The development scale of Sino-foreign cooperative programs is closely connected with the development and demand of regional economy. In terms of policy, Sino-foreign cooperative programs in western China and in remote and poor areas should be encouraged. China can combine its own professional advantages with foreign high-quality educational resources to set up characteristic cooperative programs.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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".