Research on the implementation of teaching reforms and countermeasures of mathematical and intellectual teaching in civil engineering courses
, , , , und
29. Sept. 2025
Über diesen Artikel
Online veröffentlicht: 29. Sept. 2025
Eingereicht: 08. Jan. 2025
Akzeptiert: 26. Apr. 2025
DOI: https://doi.org/10.2478/amns-2025-1119
Schlüsselwörter
© 2025 Xiya Tang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

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) |
(j) |
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 |