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Research on the implementation of teaching reforms and countermeasures of mathematical and intellectual teaching in civil engineering courses

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29 set 2025
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Figure 1.

Network teaching organization form
Network teaching organization form

Figure 2.

Feature vector generated from keypoint domain gradient information
Feature vector generated from keypoint domain gradient information

Figure 3.

Detailed classification of primitives
Detailed classification of primitives

Figure 4.

Comparison of time spent by different methods
Comparison of time spent by different methods

Figure 5.

The distribution of completion and correct rate of each course before class
The distribution of completion and correct rate of each course before class

Figure 6.

The distribution of completion and correct rate of each course between class
The distribution of completion and correct rate of each course between class

Figure 7.

The distribution of completion and correct rate of each course after class
The distribution of completion and correct rate of each course after class

The basic analysis of the results of comparison class and experimental class

Class N M σ Mean 95% confidence interval Min Max
Lower limit value Upper limit value
1 126 69.73 22.432 65.72 73.55 33.8 98
2 124 70.54 19.524 66.23 73.97 29.7 100
3 125 81.21 16.706 76.84 84.12 45.3 100

Achievement independent sample t test

Grade Class 1 Class 3 t p
Objective item(25) 20.34±3.621 17.68±4.032 0.923 0.621
Gap filling(10) 6.88±2.903 4.56±3.112 1.921 0.172
Calculation item(25) 19.31±4.317 15.33±4.571 1.241 0.034
Practical item(40) 34.72±8.019 28.64±8.729 2.712 0.000
Total(100) 81.25±13.715 66.21±20.117 3.533 0.001

Results on college students’ attitude of log-intelligent teaching

Have you participated in the teaching reform of numerical intelligence Yes No
84% 16%
Views on the intelligent teaching of number Perfectly acceptable More acceptable Difficult but acceptable Unacceptable
39% 45% 11% 5%
Independent learning and problem solving skills through numerically intelligent teaching Have improved Not improved Have no idea
53% 28% 19%
In the process of numerical intelligence teaching, the academic burden Tremendous Rather large Moderation Less
22% 29% 37% 12%
The ability to communicate with others and cooperate to complete tasks through numerical intelligence teaching Improve a lot Some improvement No improvement
22% 61% 17%

Multiple comparison

(i)Class (j)Class Mean deviation Sig. Mean 95% confidence interval
Lower limit value Upper limit value
1 2 1.462 0.376 6.82 2.03
3 -9.547 0.001 -15.33 -6.34
2 1 -1.462 0.376 -2.03 -6.82
3 -8.037 0.000 -13.45 -3.71
3 1 9.547 0.001 6.34 15.33
2 8.037 0.000 3.71 13.45
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