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Research on Precision Teaching Strategies of Civic and Political Education for College Students Driven by Big Data

  
Mar 24, 2025

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Figure 1.

The contour coefficient of K-means algorithm
The contour coefficient of K-means algorithm

Figure 2.

Student portrait display
Student portrait display

Figure 3.

Comparison of accuracy results
Comparison of accuracy results

Figure 4.

Comparison of recall results
Comparison of recall results

Student information data

Serial number Feature category Corresponding data
1 Basic information data Name
Gender
Date of birth
Contact telephone
Race
2 Learning behavior Attendance rate
Test results
Contest award
Scholarship award
3 Consumer record Student loan application
Cartoon consumption record
4 Employment Internships data
Employment data
5 Interests and hobbies Second class score
Community participation

Students’ characteristics categories and related fields

Serial number Feature category Field
1 Basic information data Name
Gender
Date of birth
Contact telephone
Race
Majors
Admission time
2 Learning behavior Weighted average grade
Winning grade
Prize category
Scholarship amount
3 Consumer record Student loan record
Consumption amount
Consumption frequency
Cartoon amount
4 Employment Internship position
Internship date
Employment position
Employment date
5 Interests and hobbies Second class score
Community participation

Student - Learning resource scoring matrix

Resource A Resource B Resource C Resource D
Student A 3 2 1 4
Student B 0 5 5 0
Student C 1 2 1 3
Student D 2 4 2 1
Student E 3 4 1 2

Student learning behavior scoring criteria

Learning behavior Grading criteria Symbol representation
Browse 1 ω1
Evaluation 3 ω2
Learning 2 ω3
Collect 4 ω4
Grade 1-5 ω5

Learning feature clustering center eigenvalue and proportion

I II III
Weighted average grade 89.47 64.12 43.28
Winning grade 100.00 60.00 0.00
Prize category 95.00 60.00 0.00
Scholarship amount 5.00 2.00 0.00
Proportion/% 32.71 43.94 23.35

Interests and hobbies feature clustering center eigenvalue and proportion

I II III
Second class score 54.86 72.38 95.47
Community participation 3.87 12.63 46.71
Proportion/% 13.66 59.78 26.56

Consumption feature clustering center eigenvalue and proportion

I II III
Student loan record 5.00 1.00 0.00
Consumption amount 594.72 1036.84 2394.63
Consumption frequency 128.00 52.00 11.00
Cartoon amount 472.96 746.83 1389.47
Proportion/% 26.42 49.79 23.81
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