A Study on the Evaluation Index System of Innovation and Entrepreneurship Education for Undergraduate Students Majoring in Interdisciplinary Arts and Sciences
Bibliographic record
Abstract
Innovation and entrepreneurship education develop rapidly in China, but the teaching varies considerably in quality. Therefore, it is very important to systematically construct an evaluation index system of innovation and entrepreneurship education. The speciality setting of comprehensive universities has the characteristics of interdisciplinary. The research selected the Shenzhen Campus of Jinan University as a case study. Based on literature research, the research constructed an evaluation index system of innovation and entrepreneurship education for undergraduate students majoring in interdisciplinary arts and sciences, which is composed of 4 primary indexes and 19 secondary indexes. In total, 234 respondents were surveyed and Importance-performance Analysis modelling was performed to analyze the innovation and entrepreneurship education situation of the research object. Results show that the most important evaluation index to be improved is the innovative service platform. The findings of this study would be of use to the development of innovation and entrepreneurship education in other similar universities.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".