The realization of information technology-based big data analysis in personalized ideological and political education in colleges and universities
e
21 mar 2025
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 21 mar 2025
Ricevuto: 06 nov 2024
Accettato: 04 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0659
Parole chiave
© 2025 Wenju He, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Figure 5.
Analysis and analysis of single factor variance analysis
| Average score | Standard deviation | Significance level | |
|---|---|---|---|
| Test 1 | 70.14 | 13.16 | P<0.01 |
| Test 2 | 92.23 | 3.22 | |
| B group | 88.36 | 6.42 | P=0.004 |
| A group | 92.23 | 3.22 |
Student achievement and cartoon consumption data correlation analysis
| ID | Support | Confidence | Degree of ascension |
|---|---|---|---|
| 1 | 0.068956 | 0.475282 | 1.1524 |
| 2 | 0.065254 | 0.522367 | 1.2935 |
| 3 | 0.056204 | 0.480214 | 1.1920 |
| 4 | 0.179532 | 0.452312 | 1.2014 |
| 5 | 0.175268 | 0.475268 | 1.2536 |
| 6 | 0.156231 | 0.462187 | 1.2125 |
| 7 | 0.134029 | 0.433257 | 1.1653 |
| 8 | 0.110022 | 0.241587 | 1.1235 |
| 9 | 0.110022 | 0.312240 | 1.4026 |
| 10 | 0.112357 | 0.274295 | 1.2548 |