Training institution teacher evaluation and recommendation method and device, electronic equipment and medium

Abstract

The invention provides a training institution teacher evaluation and recommendation method and device, electronic equipment and a medium. The method comprises the following steps: acquiring multi-dimensional information of at least one teacher, and acquiring feature information of at least one student and demand information for each dimension of the teacher; determining a teacher evaluation dimension matrix, and determining a student evaluation dimension matrix; determining a score value of each dimension of each teacher in the teacher evaluation dimension matrix according to a teacher evaluation rule tree in a rule base to obtain a teacher evaluation result matrix; determining expected values of all dimensions of the teacher in the student evaluation dimension matrix according to a student evaluation rule tree in a rule base, and obtaining a student investigation result matrix; determining the similarity between the demand of each student and each teacher; and displaying the information of a plurality of teachers with higher similarity with the student demand to each student. According to the method, intelligent evaluation and intelligent recommendation of the comprehensive qualification of teachers are realized.

Description

technical field [0001] The present application relates to the technical field of teacher recommendation. Specifically, the present application relates to a method, device, electronic device and medium for evaluating and recommending teachers of training institutions. Background technique [0002] At present, my country's education and training industry is developing rapidly, the market is huge, and the number of education and training structures reaches hundreds of thousands. However, the quality of teachers, the core resources of education, is uneven. Training institutions are too pursuing economic benefits, which leads to the overall low teaching quality, and there is no professional and objective teacher evaluation system, which lacks the identification of teachers' level and ability. According to the personal characteristics of students to match the corresponding teachers, it is impossible to teach students in accordance with their aptitude, resulting in poor teaching ef...

AI Technical Summary

Problems solved by technology

However, the quality of teachers, the core resources of education, is uneven. Training institutions are too pursuing economic benefits, which leads to the overall low teaching quality, and there is no professional and objective teacher evaluation system, which lacks the identification of teachers' level and ability. According to the personal characteristics of students to match the corresponding teachers, it is impossible to teach students in accordance with their aptitude, resulting in poor teaching effect and failing to maximize the interests of students

[0003] The current teacher recruitment strategy basically only adopts the manual review method of educational background + work experience, and the evaluation dimension of teacher qualification is single. Generally, it is only through purely manual judgment, that is, resume and interview

At the same time, when students choose teachers, they lack quantitative and comprehensive judgments on students' level, ability, personality characteristics, personal preferences, etc. Students passively choose teachers and cannot intelligently match suitable teachers according to students' characteristics

[0004] The above defects lead to the inefficient use of teaching resources, and the low effectiveness of teaching students according to their aptitude, which limits the improvement of students' ability and cannot maximize the interests of resource providers and resource consumers.

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