A Personalized Dynamic Teaching Diagnosis and Improvement System Based on Big Data

Abstract

The invention discloses a personalized dynamic teaching diagnosis and improvement system based on big data, comprising: a collection terminal, the collection terminal includes a portable collection device and a classroom collection device, the portable collection device is set on the students, and the classroom The collection device is set in the school classroom; the cloud server is coupled to the portable collection device and the classroom collection device, and the cloud server also has an analysis module inside; the report server has an integration module inside the report server, and the integration module is coupled to the analysis module. Next, the report server also has a suggestion module, and the suggestion module is coupled with the integration module. The personalized dynamic teaching diagnosis and improvement system based on big data of the present invention can effectively realize the effect of collecting student data and then analyzing reports and suggestions through the setting of collection terminals, cloud servers and report servers, so that Realize real-time training and control of students.

Description

technical field [0001] The present invention relates to a teaching system, more specifically to a personalized dynamic teaching diagnosis and improvement system based on big data. Background technique [0002] The traditional teaching mode reflects the characteristics of standardized and large-scale production methods in the industrialized era. The "three-centered" teaching mode centered on "teachers, teaching materials, and classrooms" focuses on the construction of subject knowledge systems and the dominant position of teachers, emphasizing classroom The one-way imparting of knowledge on the Internet has successfully solved the problem of large-scale knowledge-based and skilled personnel training required for the development of industrial society. However, at present, in schools and educational institutions, education managers cannot timely grasp the comprehensive situation of teaching and management , it is difficult to carry out dynamic supervision on the education syste...

AI Technical Summary

Problems solved by technology

[0002] The traditional teaching mode reflects the characteristics of standardized and large-scale production methods in the industrialized era. The "three-centered" teaching mode centered on "teachers, teaching materials, and classrooms" focuses on the construction of subject knowledge systems and the dominant position of teachers, emphasizing classroom The one-way transfer of knowledge on the Internet has successfully solved the problem of large-scale knowledge-based and skilled personnel training required for the development of industrial society. However, at present, in schools and educational institutions, education managers cannot timely grasp the comprehensive situation of teaching and management. , it is difficult to carry out dynamic supervision on the education system

[0003] Such an existing traditional teaching mode cannot provide real-time training and control for students, and cannot monitor students' learning status and learning content in a timely manner. Students cannot solve learning problems in a timely manner, which reduces students' learning efficiency.

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