Exploration of the Value and Path of Artificial Intelligence Empowering Physical Education Teaching in Rural Primary Schools - Taking Lion Experimental Primary School in Lion Town, Qichun County as an Example

DOI: https://doi.org/10.62517/jmpe.202618113

Author(s)

Mo Longteng, Yu Libin*

Affiliation(s)

Physical Education College, Huanggang Normal University, Huanggang, China *Corresponding Author

Abstract

Under the background that the country vigorously advocates "China's Education Modernization 2035" and "Education Informatization 2.0 Action Plan", the deep integration and development of artificial intelligence and education has become the general trend. This paper takes physical education teaching in rural primary schools as the research entry point, selects Lion Experimental Primary School in Lion Town, Qichun County, Hubei Province as a case, and uses literature research, case study, and descriptive research methods to systematically explore artificial intelligence from two aspects of value and path. Research on empowering primary school physical education teaching. After research, it is found that there are not only opportunities for policy support, concept renewal and technology popularization, but also difficulties in concept lag, lack of digital literacy of teachers and lack of resources in rural primary school physical education teaching. the value of artificial intelligence empowering physical education teaching in rural primary schools has three aspects, namely, personalized activation of students, precise empowerment of teachers, and ecological reconstruction of management. Student personalized activation refers to the use of artificial intelligence technology to design a personalized teaching plan for each student, bringing students an interesting learning experience and safety guarantee; Precise empowerment of teachers refers to relying on artificial intelligence technology to accurately analyze students' learning conditions, and support teachers in data-driven teaching decisions, process-based teaching management, and teaching boundary expansion; the ecological reconstruction of management refers to the establishment of a process evaluation system and a digital collaborative platform through artificial intelligence technology to realize the ecological reconstruction of rural primary school physical education teaching management. In order to achieve the above goals, this paper creates a teaching application approach dominated by the closed-loop data of "perception-image-intervention" and covering the whole process of "pre-class-in-class-after-class", and relies on "school-teacher-student" the practical path supported by the three collaborative mechanisms. With the goal of promoting smart physical education teaching, education fairness and quality improvement in similar rural primary schools, it provides theoretical reference and practical paradigm for smart physical education teaching.

Keywords

Artificial Intelligence; Primary School Physical Education Teaching; Value; Path

References

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