A teaching quality evaluation method and system for distance teaching

Abstract

A method and system for assessing teaching quality in distance teaching. Firstly, the facial expression images of learners captured by the photographing devices of each learning terminal are obtained, and then the facial expression images of each photographing device are respectively processed. The method of processing the facial expression image is as follows: first classify the facial expression image, and then input the facial expression image to the intensity processing sub-model corresponding to the classified facial expression for processing to obtain the intensity of the classified facial expression. There are multiple intensities of the expression classification in the intensity processing sub-model, and then according to the preset conversion relationship, the obtained expression classification and the corresponding expression intensity are analyzed as a whole to obtain the teaching quality evaluation index. The present invention estimates the expression intensity based on expression recognition, accurately obtains the degree of joy, confusion and anxiety of the learners during learning, and can more accurately reflect the learning status of the learners and the quality of teaching.

Description

technical field [0001] The present invention relates to the field of distance teaching, and more specifically relates to a teaching quality evaluation method and system for distance teaching. Background technique [0002] At present, some online education systems have added an auxiliary system that can recognize facial expressions to obtain the facial expressions of the learners in real time, so as to judge the emotional state of the learners, and then understand the learning status of the learners, and propose corresponding emotions. Support strategy. These auxiliary systems only roughly classify basic expression categories, such as happiness, doubt, fear, sadness, surprise, etc., and do not estimate the strength of expressions based on expression recognition, so it is impossible to accurately know whether learners are happy or confused when learning The defect is that it cannot reflect the learner's understanding of the problem. Contents of the invention [0003] The t...

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is that the above-mentioned existing auxiliary system for the prior art does not estimate the strength of the expression based on expression recognition, and cannot accurately know the degree of joy or confusion of the learner when learning, and cannot reflect the degree of the learner's emotion. For the lack of understanding of the problem, provide a teaching quality evaluation method and system for distance teaching

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