Student behavior monitoring: By using intelligent monitoring technology, students' behavior can be monitored and analyzed in real time, so as to better understand students' learning status and behavior habits and provide more effective teaching guidance and management.
Classroom interaction: Using artificial intelligence vision technology, more intelligent classroom interaction can be realized. For example, students can control computers with gestures or eyes, or interact with teachers through facial expressions.
Generation of teaching content: Using artificial intelligence vision technology, some course materials and teaching materials can be automatically generated, such as pictures, videos, cartoons, etc., which can present teaching content more intuitively and vividly.
Learning evaluation: Artificial intelligence vision technology can provide more accurate learning evaluation by analyzing videos and images during students' learning, such as judging students' learning understanding and skill mastery.
Distance education: In distance education, artificial intelligence vision technology can be used to realize more intelligent teaching methods, such as virtual classroom, distance tutoring and online experiment.
The application of artificial intelligence vision technology in education can provide more intelligent and personalized education services, improve teaching effect and students' learning experience.