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Research on the Integration of Student Behavior Analysis and Curriculum Education Strategies in Colleges and Universities under Deep Learning Framework

Shengnan Wu

Shengnan Wu

School of Marxism, Harbin UniversityHarbin, China
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Wu, Shengnan
  
24. März 2025
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Online veröffentlicht: 24. März 2025
Eingereicht: 22. Okt. 2024
Akzeptiert: 11. Feb. 2025
DOI: https://doi.org/10.2478/amns-2025-0715
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© 2025 Shengnan Wu, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

OpenPose model structure
OpenPose model structure

Figure 2.

Standard convolution and depth-separable convolution structures
Standard convolution and depth-separable convolution structures

Figure 3.

Skeletal key points of left hand raised and extended posture
Skeletal key points of left hand raised and extended posture

Figure 4.

Key bone points of lying, playing mobile phone and writing posture
Key bone points of lying, playing mobile phone and writing posture

Figure 5.

Accuracy comparison results
Accuracy comparison results

Figure 6.

CNN-10 is the confusion matrix of the class behavior data set
CNN-10 is the confusion matrix of the class behavior data set

Figure 7.

The confusion matrix of the class behavior data set is learned in this article
The confusion matrix of the class behavior data set is learned in this article

Figure 8.

Independent sample t test results
Independent sample t test results

Figure 9.

Independent sample t test results
Independent sample t test results

Pretest descriptive statistics

Group N M SD
Learning motivation Experimental group 40 19.56 1.23
Control group 40 18.77 1.36
Learning input Experimental group 40 19.36 1.02
Control group 40 19.33 1.17
Learning strategy Experimental group 40 18.63 1.69
Control group 40 18.02 1.98
Learning results Experimental group 40 19.22 1.06
Control group 40 18.86 1.88

Posttest descriptive statistics

Group N M SD
Learning motivation Experimental group 40 23.11 0.52
Control group 40 19.06 1.22
Learning input Experimental group 40 23.64 0.15
Control group 40 19.96 1.03
Learning strategy Experimental group 40 22.54 1.06
Control group 40 19.06 1.18
Learning results Experimental group 40 22.96 1.15
Control group 40 19.85 1.03
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Englisch
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Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere
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