From April 1st to 18th, approximately 100,000 ninth-grade students in Wuhan participated in their physical education (PE) entrance exam. This year's exam introduced a groundbreaking AI-powered judging system, marking a significant shift in PE exam evaluation. Traditionally, PE exams relied on manual timing and scoring, but this year's exam utilized smart devices and cloud management, ensuring fairness and efficiency.
This year's PE exam employed various AI technologies, including facial recognition, electronic distance measurement, and wireless sensing, covering 14 items across three categories. These items included long-distance running, rope skipping, soccer dribbling, and basketball dribbling, achieving an almost entirely automated process. Students underwent facial recognition at each stage for identity verification, with the system automatically collecting each student's data.
At the exam site, referees no longer manually timed or recorded scores; all data was collected in real-time by AI devices. This new method significantly improved accuracy, keeping the error rate below 0.5%. Furthermore, all data was instantly encrypted and archived to ensure transparency and openness of results.
The introduction of the AI system received positive feedback from the exam's technical consultant. They stated that AI technology makes PE exams more scientific and efficient, while also reducing the workload for exam staff. The application of AI technology enhances the credibility of the exam process, avoiding potential human errors.
Key Highlights:
🏅 Wuhan's PE entrance exam implemented an AI-powered judging system, covering nearly 100,000 students.
🤖 Facial recognition and wireless sensing technologies were used to achieve a fully automated exam process.
🔒 Data was encrypted and archived in real-time, ensuring transparency, accuracy, and openness of results.
