Analysis of the Application and Practical Effect of AI Technology in Civic Education Management in Colleges and Universities
Mar 19, 2025
About this article
Published Online: Mar 19, 2025
Received: Nov 08, 2024
Accepted: Feb 08, 2025
DOI: https://doi.org/10.2478/amns-2025-0520
Keywords
© 2025 Xuekun Zhou, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.
Figure 2.
![Silhouette coefficient of each cluster when K is in [2, 10]](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/67b4bb00082aa65dea3f5570/j_amns-2025-0520_fig_002.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20251024%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20251024T024955Z&X-Amz-Expires=3600&X-Amz-Signature=4d0c1be721e02ffeaf4c957db7b012fbb31117620a4b231d77ef58f4a3b391d1&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
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Figure 5.
Application effect analysis
| Comparison of test scores in the experimental group | |||
|---|---|---|---|
| Test item | Average score | Standard deviation | Significance level |
| Pretest | 70.13 | 13.01 | P<0.01 |
| Posttest | 92.25 | 3.25 | |
| Comparison between control group and experimental results of experimental results | |||
| Class | Average score | Standard deviation | Significance level |
| Cross-reference class | 35 | 87.36 | 6.42 |
| Laboratory class | 35 | 92.25 | 3.25 |
| P | 0.004 | ||
Dataset description
| Categories | Describe | Symbol |
|---|---|---|
| Basic data | Gender | X1 |
| Peoples | X2 | |
| Political identity | X3 | |
| Candidate category | X4 | |
| Shooting mark | X5 | |
| Additional information | X6 | |
| Students with difficulty in family economics | X7 | |
| Honour | Whether to get school honors | X8 |
| Whether to receive the above provincial honors | X9 | |
| The total amount of money awarded | X10 | |
| GPA | First semester | X11 |
| Second semester | X12 | |
| Third semester | X13 | |
| Fourth term | X14 | |
| Semester five | X15 | |
| Sixth term | X16 | |
| Seventh semester | X17 | |
| Semester 8 | X18 | |
| Total GPA | X19 |
Student survey distribution
| Content | Select | N | Percentage |
|---|---|---|---|
| Gender | Man | 160 | 56.14% |
| Female | 125 | 43.86% | |
| Age | Freshman year | 60 | 21.05% |
| Sophomore | 68 | 23.86% | |
| Junior | 87 | 30.53% | |
| Senior year | 70 | 24.56% |
The reasons for the problem of the management of data in college students
| Quantity of people | Quantity of people | ||
|---|---|---|---|
| Schoolmate | 178 | Personalized coaching | 281 |
| Counsellor | 40 | Targeted guidance | 25 |
| A functional department teacher | 29 | Forecast student requirements | 38 |
| Campus network | 34 | Improve efficiency | 78 |
| Teacher | 14 | Comprehensive assessment | 112 |
| Parent | 220 | Establish student profile | 232 |