Identification of Key Elements and Path Design of Vocational Education Governance Modernization Supported by Deep Learning
21 mar 2025
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 21 mar 2025
Ricevuto: 30 ott 2024
Accettato: 11 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0567
Parole chiave
© 2025 Fan Li, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Data set validation results
| Model | Accuracy rate | Recall rate | F1 value |
|---|---|---|---|
| HMM | 85.76% | 86.03% | 83.99% |
| CRF | 86.11% | 86% | 86.64% |
| BiLSTM | 86.87% | 87.94% | 86.61% |
| BiLSTM-CRF | 86.91% | 88.27% | 88.55% |
| BERT-CRF | 90.73% | 88.41% | 89.6% |
| Lattice-LSTM | 90.7% | 90.12% | 91.38% |
| SoftLexicon(LSTM) | 90.74% | 90.24% | 90.13% |
| Ours | 96.65% | 96.3% | 95.22% |
Analysis of individual conditions necessity
| Conditional variable | Variable code | Sustainable innovation | Unsustainable innovation | ||
|---|---|---|---|---|---|
| consistency | coverage | consistency | coverage | ||
| Creative task properties | T1 | 0.77687 | 0.84732 | 0.67322 | 0.59689 |
| ~ Creative task properties | ~ T1 | 0.53751 | 0.70848 | 0.79554 | 0.70786 |
| Innovative target type | T2 | 0.69851 | 0.76125 | 0.64441 | 0.57634 |
| ~ Innovative target type | ~ T2 | 0.5184 | 0.68147 | 0.67747 | 0.70406 |
| Multiple governance | O1 | 0.77828 | 0.82918 | 0.73316 | 0.73032 |
| ~ Multiple governance | ~ O1 | 0.55959 | 0.75368 | 0.76369 | 0.80121 |
| Organizational leadership support | O2 | 0.97876 | 0.96141 | 0.70312 | 0.56932 |
| ~ Organizational leadership support | ~ O2 | 0.5581 | 0.69304 | 0.7925 | 0.81729 |
| Economic development level | I1 | 0.74276 | 0.78653 | 0.67482 | 0.58544 |
| ~ Economic development level | ~ I1 | 0.51757 | 0.69851 | 0.70474 | 0.74822 |
| Innovation resource input | I2 | 0.73818 | 0.86072 | 0.61456 | 0.5851 |
| ~ Innovation resource input | ~ I2 | 0.5571 | 0.68009 | 0.82442 | 0.78237 |
Experimental comparison
| Model | Accuracy rate | Recall rate | F1 value |
|---|---|---|---|
| HMM | 70.18% | 80.27% | 76.28% |
| CRF | 81.73% | 80.03% | 79.92% |
| BiLSTM | 85.08% | 82.27% | 82.64% |
| BiLSTM-CRF | 86.21% | 84.21% | 85.65% |
| SoftLexicon(LSTM) | 77.05% | 82.63% | 85.04% |
| Lattice-LSTM | 88.48% | 88% | 81.2% |
| BERT-CRF | 87.86% | 81.89% | 83.64% |
| Ours | 87.65% | 85.88% | 87.26% |
The results of each entity F1 assessment
| Model | Basic type | |||||
|---|---|---|---|---|---|---|
| D | T | N | P | K | R | |
| HMM | 95.96% | 80.13% | 48.87% | 31.03% | 53.36% | 83.56% |
| CRF | 96.52% | 92.72% | 47.64% | 37.39% | 57.95% | 96.24% |
| BiLSTM | 95.27% | 94.32% | 49.32% | 62.25% | 90.57% | 95.7% |
| BiLSTM-CRF | 98.06% | 93.36% | 47.37% | 55.04% | 93.36% | 95.9% |
| Lattice-LSTM | 96.84% | 85.97% | 48.14% | 37.45% | 93.21% | 92.37% |
| SoftLexicon(LSTM) | 96.64% | 88.52% | 58.23% | 48.61% | 95.48% | 98.83% |
| BERT-CRF | 96.21% | 94.51% | 51.45% | 57.55% | 91.7% | 97.52% |
| Ours | 98.82% | 94.16% | 71.32% | 70.44% | 93.98% | 100% |
Local education governance innovation continued path
| Conditioned configuration | Sustainable innovation | Unsustainable innovation | |||
|---|---|---|---|---|---|
| Combination H1 | Combination H2 | Combination H3 | Combination W1 | Combination W2 | |
| Creative task properties | ● | • | ⊗ | ||
| Innovative target type | • | ⊗ | ⊗ | ||
| Multiple governance | ⊗ | ⊗ | |||
| Organizational leadership support | ● | ● | • | ⊗ | |
| Economic development level | ⊗ | ● | ● | ⊗ | |
| Innovation resource input | • | ⊗ | • | ● | |
| Primary coverage | 0.1692 | 0.3645 | 0.2436 | 0.2599 | 0.3507 |
| Unique coverage | 0.0889 | 0.2925 | 0.069 | 0.2577 | 0.6494 |
| Consistency | 0.8232 | 0.9176 | 0.8009 | 0.8518 | 0.8331 |
| The coverage of the solution | 0.87216 | 0.72686 | |||
| Consistency of solutions | 0.90985 | 0.86125 | |||
Text vector representation
| Text | Vector representation |
|---|---|
| Emergency extraction | |
| Event factor recognition |