As global pandemic measures intensify the social challenges faced by the deaf and mute community, the significance of sign language in higher education is becoming increasingly apparent. Professor Tian Yingli and her team have developed a visual system that can identify grammatical errors in American Sign Language in real-time, providing learners with immediate feedback. Their research has been showcased at top conferences and has garnered widespread attention. In the future, they plan to explore more technological avenues to enhance the performance of sign language recognition systems and advance the development of the sign language field.