The AI Smart Class uses artificial intelligence and big data to help focus on the subject, enrich the content of attention, and realize each student's need for attention, thereby promoting students' personalized learning and development. In such classrooms, teachers themselves have become the subject of artificial intelligence's attention. Through the big data that teachers pay attention to, teachers can optimize their teaching strategies, enhance classroom leadership, and achieve teaching excellence.
AI classroom’s Characteristic
Omni-directional interaction 、Wisdom evaluation 、Big data analysis 、context awareness、Intelligent control .
There are two versions of the AI analysis serve。 Basic Version and Enhanced version。
The function of basic version is Face recognition / Voice print recognition and knowledge point recognition
The function of our Enhanced version is Facial Expression recognition / posture recognition and Behavior recognition.
Face / Voice print / Knowledge point
Facial expression/ posture /
Support for the combination of basic version and enhanced version
The function of Basic version.
First function is Face Recognition .
Identify the faces of teachers and students.
The recognized face will be automatically compared with the database for similarity analysis which can be used for non-sensing attendance。
Second function is Voiceprint recognition
Identify the voice of teachers and students in the class(teaching process), and analyze the total time of Teacher lecturing , Students speaking、 thinking state and self study。And classify the teaching method as teaching, practice ,dialogue and mixture。
Third function is Knowledge Point Recognition.
Forming a summary of knowledge points from PPT. Meet the needs of teachers' assessments and students' review of knowledge points.
The function of enhanced version.
First function is Facial Expression Recognition.
Based on the teacher’s and students’ faces, eyes, noses, mouths, and etc.
Identify and analyze the expression of the teacher and students in the class 。Divide the expression into positive, negative, neutral
Second function is Posture Recognition
Identify the student's posture during the class, analyzes the student's posture, such as raising hands, standing, explaining the topic。
Third function is Behavior Recognition.
Identify Teacher’s behaviors such as, lecturing, Blackboard writing, explaining PPT, demonstration, inspection, tutorship and ask questions.
Identify students’ behaviors such as, listening, standing and answering questions .
According to the data of Attendance，Expression, Behavior， Voice print ,Knowledge points to analyze the participation and Teaching situation of the class , our platform can automatically form the class analysis report。
According to the ST teaching analysis and Flanders interactive analysis of class personality and interactive proportion, our platform is able to automatically form the teaching evaluation analysis.
1。 Through the analysis of teacher’s teaching behaviors and expressions, our platform will make evaluation and abnormal analysis warning.
2. Through the observation of the teaching video, combined with the analysis and evaluation results of image and voice recognitions, our platform can effectively identify the students' mastery of knowledge, help teachers adjust the teaching strategy in time, and improve the teaching level.
3 .Through class personality evaluation, Our platform will provide the teaching suggestions to teachers.
4 .Our platform can provides a large number of teaching and research data to teacher which help teacher’s teaching reflection.
Through students’ attendance, expression and posture analysis, our platform can automatically form the student personal analysis report.
Provide effective data support for teachers and parents to pay attention to students' learning efficiency, and provide personalized guidance to students。