Research on the Combination Strategy of Marxist Ideology and Ideological and Political Education in Colleges and Universities Based on Data Fusion Modeling
27 feb 2025
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 27 feb 2025
Ricevuto: 25 set 2024
Accettato: 15 gen 2025
DOI: https://doi.org/10.2478/amns-2025-0112
Parole chiave
© 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 |