Intelligent teaching system based on big data

Abstract

The invention discloses an intelligent teaching system based on big data. The system comprises a cloud server and teaching units arranged on the desktops of external desks in a one-to-one correspondence manner. Each teaching unit comprises an installation base arranged on the desktop of the corresponding external desk, a communication device arranged in the installation base and a scanning supportfixedly connected on the installation base. The scanning support is provided with a scanning head for scanning questions, wherein the scanning head is coupled to the communication device. The cloud server is internally provided with a teacher terminal, a student terminal, a question bank storing question data and answer analysis data, a mistake-making question bank storing mistake-making questions of students and an analysis and check module for analysis and check of questions done by the students. The intelligent teaching system based on big data, through the arrangement of the cloud serverand the teaching units, can analyze the questions done by the students in real time effectively, and meanwhile, can collect the mistake-making questions, so that the students can be tutored targetedlythrough the teacher terminal.

Description

technical field [0001] The present invention relates to a teaching system, more specifically to an intelligent teaching system based on big data. Background technique [0002] With the rapid development of society, modern education needs to teach more and more content, so students have to learn more and more content. Therefore, if the traditional teacher classroom teaching method is still adopted, it is easy to appear due to classroom teaching. The time is limited, so the teaching content that teachers can carry out during class time is also very limited, which will reduce the learning efficiency of students. If the method of supplementary teaching is used for after-class homework, on the one hand, it will increase the burden of students' after-class learning On the other hand, after students finish their homework, they cannot give timely feedback to students on wrong questions to deepen their impressions. Teachers need to provide tutoring in class or after class, which redu...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of society, modern education needs to teach more and more content, so students have to learn more and more content. Therefore, if the traditional teacher classroom teaching method is still adopted, it is easy to appear due to classroom teaching. The time is limited, so the teaching content that teachers can carry out during class time is also very limited, which will reduce the learning efficiency of students. If the method of supplementary teaching is used for after-class homework, on the one hand, it will increase the burden of students' after-class learning On the other hand, after students finish their homework, they cannot give timely feedback to students on wrong questions to deepen their impressions. Teachers need to provide tutoring in class or after class, which reduces the teaching efficiency of homework. It also wastes corresponding classroom resources and teacher resources, which increases teaching costs

[0003] Therefore, in the prior art, a smart tablet computer is directly added to the desk to give timely feedback to students' wrong questions to deepen the impression. However, using the above method, on the one hand, the tablet computer is expensive and will greatly increase the teaching cost. To popularize it effectively, on the other hand, it is necessary to do electronic writing directly on the tablet computer. The impression of electronic writing on people is not as deep as that of manual writing, which will reduce the learning efficiency of students in terms of student impression.

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