Research on the implementation of teaching reforms and countermeasures of mathematical and intellectual teaching in civil engineering courses
, , , , et
29 sept. 2025
À propos de cet article
Publié en ligne: 29 sept. 2025
Reçu: 08 janv. 2025
Accepté: 26 avr. 2025
DOI: https://doi.org/10.2478/amns-2025-1119
Mots clés
© 2025 Xiya Tang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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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 |