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Analysis of the Application and Practical Effect of AI Technology in Civic Education Management in Colleges and Universities

Xuekun Zhou

Xuekun Zhou

Xi’an Medical UniversityXi’an, China
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Zhou, Xuekun
  
19 mar 2025
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Pubblicato online: 19 mar 2025
Ricevuto: 08 nov 2024
Accettato: 08 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0520
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© 2025 Xuekun Zhou, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Decision support system component
Decision support system component

Figure 2.

Silhouette coefficient of each cluster when K is in [2, 10]
Silhouette coefficient of each cluster when K is in [2, 10]

Figure 3.

The differences between the three groups of students
The differences between the three groups of students

Figure 4.

The three groups of students received an honorary difference
The three groups of students received an honorary difference

Figure 5.

The average gpa difference between the three students
The average gpa difference between the three students

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
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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