Campus intelligent service system based on AI +

Abstract

The invention discloses a campus intelligent service system based on AI +, and the system is characterized in that the system comprises an information and safety management subsystem, a teaching office subsystem, and a comprehensive analysis subsystem, and the information and safety management subsystem, the teaching office subsystem, and the comprehensive analysis subsystem are connected with thesame server; the information and safety management subsystem collects campus safety information and transmits the campus safety information to the server. The teaching office subsystem assists teachers in teaching, and the comprehensive analysis subsystem performs comprehensive analysis and evaluation on behaviors of students. And the campus is managed through the information and safety management subsystem, the teaching office subsystem and the comprehensive analysis subsystem, and multiple factors are comprehensively considered in the result, so that the judgment result of management decision, teaching evaluation and learning evaluation is more objective, and the influence of human factors is eliminated.

Description

technical field [0001] The invention relates to an intelligent service system, in particular to an AI+-based campus intelligent service system. Background technique [0002] Campus services mainly include management, teaching and student evaluation. Since these parts are managed based on people, there are many problems as follows. [0003] 1. In terms of management, due to the different knowledge structure and experience of each person, when making judgments, the requirements for personnel are very high, and the objectivity of the results needs to be improved. [0004] 2. In terms of teaching, teachers are busy with their own work, and teachers lack mutual communication channels before. The evaluation of each teacher is often based on the teaching results, and the evaluation results have limitations. [0005] 3. In terms of student evaluation, it is usually conducted by the teacher. In the evaluation process, it is easy for teachers to form preconceived phenomena and make ...

AI Technical Summary

Problems solved by technology

[0003] 1. In terms of management, due to the different knowledge structure and experience of each person, when making judgments, the requirements for personnel are very high, and the objectivity of the results needs to be improved

[0004] 2. In teaching, teachers are busy with their own work, and teachers lack mutual communication channels before. The evaluation of each teacher is often based on the teaching results, and the evaluation results have limitations

In the evaluation process, teachers tend to form preconceived phenomena and make unobjective evaluations based on their own preferences

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