Educational Management Strategies to Promote the Sustainable Development of Entrepreneurship of Students in Higher Vocational Colleges
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
The This paper aims to explore educational management strategies for promoting the sustainable development of entrepreneurship among students in higher vocational colleges. The research subjects consist of 400 students from 10 higher vocational colleges in Guangdong Province. Based on the data analysis results from a questionnaire survey of these 400 students and interviews with 12 experts, it is concluded that the factors influencing the sustainable development of entrepreneurship among students in higher vocational colleges include entrepreneurship knowledge, entrepreneurship teams, entrepreneurial experience, entrepreneurial capital, and entrepreneurial skills. Additionally, the influencing environmental factors encompass the market environment, educational management environment, policy and legal environment, and family environment. Combining SWOT, PEST, and TOWS matrix analyses, this paper proposes educational management strategies to foster the sustainable development of entrepreneurship among students in higher vocational colleges. These strategies aim to cultivate students' entrepreneurial spirit, provide more entrepreneurial talents to society, and promote the sustainable development of the social economy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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