This invention discloses a method for constructing an AI-assisted assessment
system for
physical education teaching scenarios, belonging to the field of education. The method includes the following steps: First, a standard movement sample
database is constructed based on
physical education teaching standards, containing movement samples and feature annotations from multiple angles and difficulty levels; second, an AI assessment model is designed, using
computer vision technology to extract key points of human posture, and combining temporal analysis algorithms to achieve automatic recognition and quantitative scoring of movements; then, a recording module, a feedback module, and a
report generation module are integrated to provide video acquisition, real-time analysis, and personalized guidance functions; finally, the
system is continuously improved through an iterative optimization path of
data acquisition, model training,
system integration, and experimental
verification. This invention realizes the transformation of
physical education teaching assessment from a subjective experience-driven model to a data-driven model, supports multi-dimensional movement scoring and deviation localization, provides objective and unified evaluation results, and offers immediate and accurate feedback, effectively improving teaching guidance efficiency and students' movement skill levels.