Collective lesson preparation management system and method based on smart class teaching system

Abstract

The invention discloses a collective lesson preparation management system and method based on a smart class teaching system. The smart class teaching system comprises a teaching system, an LED displaysystem, a staff attendance system, an asset management system, a light control system, a door frame monitoring system, a ventilation and air exchange system and a video monitoring system. The complete lesson preparation process of collective lesson preparation comprises primary lesson preparation, collective communication, formation of a teaching plan and personalized processing of the teaching plan. The process is scientific and reasonable and safe and convenient to use. The collective lesson preparation is an important part of school-based teaching and research and is a lesson preparation form for realizing interactive teaching of teachers and carrying out study on teaching methods, gives full play to collective wisdom, achieves knowledge sharing and complementary advantages, improves education theory level of teachers, especially young teachers, and scientific research ability of the teacher, enhances the awareness of teamwork of the teachers and promotes the development of teachers' professional ability, thereby creating a good teaching and research atmosphere.

Description

technical field [0001] The invention relates to the technical field of collective lesson preparation in smart classrooms, in particular to a collective lesson preparation management system method based on a smart classroom teaching system. Background technique [0002] Lesson preparation is an important process of teachers' teaching activities and an important part of school-based teaching and research. It ensures the effective achievement of teaching quality and plays an important role in the process of teaching activities. It is very important in schools. From the perspective of lesson preparation form , Lesson preparation is mainly divided into: individual lesson preparation and collective lesson preparation. However, these two traditional lesson preparation methods cannot guarantee the quality of teaching under the environment of the new curriculum reform. At present, some actual situations in the school have to arouse our attention, such as: Primary school teachers are ...

AI Technical Summary

Problems solved by technology

[0002] Lesson preparation is an important process of teachers' teaching activities and an important part of school-based teaching and research. It ensures the effective achievement of teaching quality and plays an important role in the process of teaching activities. It is very important in schools. From the perspective of lesson preparation form , Lesson preparation is mainly divided into: individual lesson preparation and collective lesson preparation. However, these two traditional lesson preparation methods cannot guarantee the quality of teaching under the environment of the new curriculum reform. At present, some actual situations in the school have to arouse our attention, such as: Primary school teachers are in short supply, there are many courses, and teachers have heavy teaching tasks. When the free time is not properly utilized, there is not enough time for lesson preparation activities. As a result, the phenomenon of copying old teaching plans and taking multiple classes for one teaching plan has occurred, resulting in Lesson preparation is a mere formality, and the quality of teachers cannot be improved. At the same time, in order to cope with the inspection of superiors, most of the teachers prepare several courses and then pass them on to each other. Such teaching plans have not been discussed, without the collision of thinking. Serious thinking and lack of collective wisdom. In addition, the existing collective lesson preparation is still subject to many limitations, such as: the need for group members to have common free time, less cooperation and communication, lack of a platform for communication, and feedback from feedback in real time, etc.

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