Investigation on the Use of Virtual Reality in the Flipped Teaching of Martial Arts Taijiquan Based on Deep Learning and Big Data Analytics

Flipping classroom teaching of martial arts “Taijiquan” is a contemporary teaching method that primarily uses information technology tools to accomplish the natural fusion of information technology and education and teaching. Digital teaching materials influence the conventional classroom. The conve...

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Bibliographic Details
Published in:Journal of sensors 2022-10, Vol.2022, p.1-14
Main Authors: HanLiang, Zhang, LiNa, Zhang
Format: Article
Language:English
Subjects:
Algorithms
Artificial neural networks
Classrooms
Colleges & universities
Culture
Deep learning
Education
Flipped classroom
Image retrieval
Information technology
Machine learning
Martial arts
Pedagogy
Physical education
Regression analysis
Statistical analysis
Students
Teachers
Teaching
Variance analysis
Virtual reality
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Summary:Flipping classroom teaching of martial arts “Taijiquan” is a contemporary teaching method that primarily uses information technology tools to accomplish the natural fusion of information technology and education and teaching. Digital teaching materials influence the conventional classroom. The conventional teaching approach of teacher instruction and student learning is no longer satisfactory to students. Virtual reality (VR) technology and physical education integration and development have currently emerged as a new trend, but research on its application to martial arts is still in its theoretical stages and lacks concrete application countermeasures and schemes, necessitating further investigation and study. This paper intends to investigate the use of virtual reality technology in martial arts education. The architecture of virtual reality based on the deep learning algorithm is suggested. The student dataset is collected, and they are split into two groups: control and study groups. Traditional teaching is provided to the control group, and deep learning-based VR-assisted teaching is provided to the study group using the Deep Binary Hashed Convolutional Neural Network (DBH-CNN). Statistical analysis is done using Student’s t-test, logistic regression analysis, and analysis of variance (ANOVA). According to the study findings, the majority of students see virtual reality technology-assisted martial arts education favorably, and their passion for studying martial arts has greatly increased.
ISSN:1687-725X
1687-7268
DOI:10.1155/2022/3921842