The artificial intelligence smart teaching system collects data on teacher-student interactions through voice recognition, recording students’ speeches and teachers’ teaching content in textual form. It converts unstructured data into structured data using text technology, extracting key interactive vocabulary and automatically marking these words based on changes in classroom atmosphere. It extracts positive vocabulary that contributes to the classroom atmosphere and automatically generates electronic handouts and course tags corresponding to the teacher’s teaching materials. It synchronously generates recordings or text of questions raised by students for online storage and playback, ensuring interaction and communication between teachers and students. Additionally, it provides intelligent resource tagging, intelligent resource review, intelligent video highlights, and other intelligent analysis processing functions.
The application of voice recognition technology can achieve regular recording of teachers’ daily teaching, converting the content spoken by teachers into text, and combining it with PPT and other resources to enhance teaching and learning efficiency. On one hand, it helps teachers gain a clearer understanding of their teaching style, facilitating rapid professional growth; on the other hand, for students, intelligent voice recognition plays a crucial role in their learning outside of class.
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