Research on the Combination Strategy of Marxist Ideology and Ideological and Political Education in Colleges and Universities Based on Data Fusion Modeling
27 lut 2025
O artykule
Data publikacji: 27 lut 2025
Otrzymano: 25 wrz 2024
Przyjęty: 15 sty 2025
DOI: https://doi.org/10.2478/amns-2025-0112
Słowa kluczowe
© 2025 Zhiqin Zhang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Table of data sources
| Data type | Characterization | Date Range | Data type | Unit |
|---|---|---|---|---|
| CI | Number of questions | 0-10 | Continuous | Times |
| Discussion Participation Rate | 0%-100% | Percentage | % | |
| Correct Answer Rate | 0%-100% | Percentage | % | |
| OL | Watching time | 0-20 | Continuous | h |
| Course Completion Rate | 0%-100% | Percentage | % | |
| Test Score | 0-100 | Continuous | Point | |
| QF | Satisfaction Rating | 1-5 | Discrete | mark |
Mean score control table
| Weekly | The mean score of the experimental group | The mean score of the control group |
|---|---|---|
| 1 | 70.1 | 68.9 |
| 5 | 81.5 | 70.0 |
| 10 | 92.5 | 71.8 |
Comparison of algorithms
| Algorithm | Advantages | Limitations | Accuracy (%) |
|---|---|---|---|
| Weighted average | Simple and easy to implement | Cannot handle dynamic or complex relationships | 85 |
| Kalman filtering | Performs well with dynamic data | Requires accurate noise modeling | 90 |
| Decision tree method | Can handle complex, multidimensional features | Sensitive to data volume | 92 |