Uneingeschränkter Zugang

An Exploration of the Path of Information Technology to Strengthen the Teaching Quality of Physical Education in Colleges and Universities

  
23. Sept. 2025

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COVER HERUNTERLADEN

Figure 1.

Cluster analysis algorithm
Cluster analysis algorithm

Figure 2.

The diagram of screening Exercise Items
The diagram of screening Exercise Items

Figure 3.

Algorithm flow chart
Algorithm flow chart

Figure 4

Distribution of boys in different categories
Distribution of boys in different categories

Figure 5.

Experimental comparison
Experimental comparison

Figure 6.

The grade statistics of the overall performance of the aerobics
The grade statistics of the overall performance of the aerobics

The specific data of the male center point vector

Categories BMI (Kg/M) Predisposition (Cm) Fixed Jump (Cm) Lead Up 50m Run (Second) 1000m (Second) Lung Capacity (Ml)
0 21.92 23 234 9 8 250 5086
1 16.84 15.9 226 6 7.09 250 4560
2 19.02 15 231 11 7.6 251 3774
3 20.02 18 236 10 7.4 242 4320
4 19.17 11.7 243 15 7.3 257 4068
5 19.75 13 231 19 7.35 235 6207
6 20.13 18 229 1 7.26 253 5375
7 20.96 22.7 245 3 7.65 253 5695
8 23.35 18 224 3 7.7 260 4865
9 21.66 13 236 3 8.25 248 3377

Movement scheme data structure

Data name Symbol Data content Data type
Prescription type Type Aerobic, powerful, flexible Int
Sports purpose Effect The goal required for exercise corresponds to user requirements Vector
Action site Target Body parts that need to be exercised Vector
Sports Item The necessary sports items to be executed Array
Motor cycle Period The time required to achieve the purpose of exercise Int
Motor intensity Strength Best exercise intensity when performing exercise Int
Motion length Duration The best motion time of the exercise Int
Motion frequency Frequency The number of times per week Float32
Conditional requirement Amount Minimum exercise during exercise Int
Considerations Attention The point that needs to be noted during the exercise --

The statistical analysis of the interest of the experimental group after the experiment

Study interest group Before the experiment (n= 30) M±SD After the experiment (n= 30) M±SD
negativity Experimental group 19.75±1.08 16.35±3.87
Control group 22.38±3.1 22.95±1.5
positivity Experimental group 16.45±1.16 18.46±2.36
Control group 22±3.82 20.95±4.65
Skill learning Experimental group 14.17±4.71 23.16±1.2
Control group 17.11±3.93 18.58±1.05
Extracurricular activities Experimental group 10.44±3.12 22.08±1.32
Control group 12.27±1.07 18.47±3.38
Aerobics attention Experimental group 12.91±3.31 19.86±3.12
Control group 16.35±2.46 17.3±3.46
Total score Experimental group 73.72±2.49 99.91±2.91
Control group 90.11±3.13 98.25±4.43

Similar fusion computing recommendation and traditional

Sportsman 1 2 3 4 5 6 7 8 9 10 11 12 13 200
Ours 4.3 3.7 4.57 3.8 4.3 4.8 3.6 4.5 2.7 5.8 4.5 4.2 3.8 4.8
Direct recommendation 3.6 1.8 3.46 3.74 3.6 5.2 4.1 3.2 1.2 4.7 4.1 4.5 2.7 4.9

The boys are ranked in the ranking of data

Categories BMI From big to small Lung Capacity Fixed Jump Lead Up Predisposition 50m Run 1000m Lung Capacity
0 1 7 4 4 9 2 2 0
1 9 4 6 5 2 6 7 9
2 8 6 3 9 8 0 2 8
3 3 5 1 0 1 1 5 3
4 6 8 7 7 5 9 10 6
5 6 0 0 3 6 0 2 6
6 1 3 5 6 2 6 2 1
7 2 2 2 7 10 2 1 2
8 0 4 10 8 9 6 9 0
9 2 6 1 6 0 9 7 2

Results and analysis of the special body quality

Special body quality index Group Pre-test (n= 30) M±SD Post-test (n= 30) M±SD
Predisposition (cm) Experimental group 11.42±2.12 19.07±2.13
Control group 18.54±1.49 19.14±17.03
50 meters (s) Experimental group 6.07±0.87 9.95±8.24
Control group 3.4±0.16 9.7±16.12
50 meters (s) Experimental group 31.85±4.04 55.16±8.83
Control group 28.92±4.83 53.36±6.85
The tablet supports (s) Experimental group 70.4±10.24 94.2±12.57
Control group 65.38±21.39 80.08±14.45
At the end of 30 seconds Experimental group 15.8±3.23 19.65±9.19
Control group 14.41±2.74 16.64±10.15

Statistical analysis of the general results

Project Experimental group Control group t p
Total score 91.78±3.14 85.76±3.64 4.41 0.000

Boys center point vector

Set id Center point vector
0 [21.92 5086 234 23 8 9 250]
1 [16.84 4560 226 15.9 7.09 6 250]
2 [19.02 3774 231 15 7.6 11 251]
3 [20.02 4320 236 18 7.4 10 242]
4 [19.17 4068 243 11.7 7.3 15 257]
5 [19.75 6207 231 13 7.35 19 235]
6 [20.13 5375 229 18 7.26 1 253]
7 [20.96 5695 245 22.7 7.65 3 253]
8 [23.35 4865 224 18 7.7 3 260]
9 [21.66 3377 236 13 8.25 3 248]

Girls center corresponding data

Categories BMI (kg/m) Predisposition (cm) Fixed jump (cm) Sit-ups (one) 50m run (second) 800m (second) Lung capacity (ml)
0 25.15 34 191 41 9.41 265 3826
1 20.13 16.5 172 32 8.34 240 2865
2 20.63 15 166 33 7.9 244 3606
3 19.91 2 176 35 9.5 46 3074
4 19.72 22 186 37 8.84 249 3440
5 24.01 18 176 36 8.54 222 4079
6 21.45 12 163 49 10.2 225 3256
7 18.46 19 179 38 10.5 239 4617
8 18.69 12 165 47 9.5 237 2602
9 20.71 13 179 41 9.8 248 2247

Girl center vector

Set id Center point vector
0 [25.15 3826 191 34 9.41 41 265]
1 [20.13 2865 172 16.5 8.34 32 240]
2 [20.63 3606 166 15 7.9 33 244]
3 [19.91 3074 176 2 9.5 35 46]
4 [19.72 3440 186 22 8.84 37 249]
5 [24.01 4079 176 18 8.54 36 222]
6 [21.45 3256 163 12 10.2 49 225]
7 [18.46 4617 179 19 10.5 38 239]
8 [18.69 2602 165 12 9.5 47 237]
9 [20.71 2247 179 13 9.8 41 248]
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere