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<p>This paper innovatively applies smart wearable devices to college sports flipped classrooms, using the photoelectric volumetric method to measure blood oxygen pulse and monitor heart rate during exercise, and realizing the calculation and measurement of exercise status by detecting the discrimination between peak exercise and normal exercise threshold. The sports-flipped classroom will improve the quality of physical education by using intelligent sports equipment to enable students to learn independently and teachers to guide them at the right time. The results show that there is a significant difference in the cognition of college students’ sports behavior in the duration of using smart wearable devices (P=0.044), and the frequency and time of using smart wearable devices will have a very significant impact on sports intensity (P&lt;0.01). There were significant differences (P &lt; 0.01) in height, 50-meter run, seated forward bend, and 800/1000 meters, and no significant differences in weight (P = 0.824), blood oxygen level, heart rate, and gait after smart device sports flipped classroom instruction. There were significant differences (P&lt;0.05) in “novelty, negativity, attention, exploratory, enjoyment, and positivity” in the experimental group after the flipped classroom teaching of sports with intelligent devices, and the negativity showed a significant decreasing trend.</p>
</abstract>

This paper innovatively applies smart wearable devices to college sports flipped classrooms, using the photoelectric volumetric method to measure blood oxygen pulse and monitor heart rate during exercise, and realizing the calculation and measurement of exercise status by detecting the discrimination between peak exercise and normal exercise threshold. The sports-flipped classroom will improve the quality of physical education by using intelligent sports equipment to enable students to learn independently and teachers to guide them at the right time. The results show that there is a significant difference in the cognition of college students’ sports behavior in the duration of using smart wearable devices (P=0.044), and the frequency and time of using smart wearable devices will have a very significant impact on sports intensity (P<0.01). There were significant differences (P < 0.01) in height, 50-meter run, seated forward bend, and 800/1000 meters, and no significant differences in weight (P = 0.824), blood oxygen level, heart rate, and gait after smart device sports flipped classroom instruction. There were significant differences (P<0.05) in “novelty, negativity, attention, exploratory, enjoyment, and positivity” in the experimental group after the flipped classroom teaching of sports with intelligent devices, and the negativity showed a significant decreasing trend.

The Practice of Intelligent Auxiliary Rib Equipment in the Flipped Classroom Teaching Mode of College Physical Education

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper innovatively applies smart wearable devices to college sports flipped classrooms, using the photoelectric volumetric method to measure blood oxygen...

The Practice of Intelligent Auxiliary Rib Equipment in the Flipped Classroom Teaching Mode of College Physical Education

Publié en ligne: 03 juin 2024

Pages: -

Reçu: 23 févr. 2024

Accepté: 29 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-1334

Mots clés
Smart wearable devices, Photovoltaic volumetric method, Threshold discrimination, Flipped classroom, Motion states

© 2024 Xinxin Peng, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Practice of Intelligent Auxiliary Rib Equipment in the Flipped Classroom Teaching Mode of College Physical Education

Publié en ligne: 03 juin 2024

Pages: -

Reçu: 23 févr. 2024

Accepté: 29 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-1334

Mots clésSmart wearable devices, Photovoltaic volumetric method, Threshold discrimination, Flipped classroom, Motion states

© 2024 Xinxin Peng, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Smart wearable devices, Photovoltaic volumetric method, Threshold discrimination, Flipped classroom, Motion states