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基于表情识别的教学质量自动评估系统

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教学质量自动评估系统,一直是学校教师、学生家长孜孜以求的系统.以往的教学质量评估系统,基本上是通过问卷调查的形式,让学生们手工填写.学生在填写的过程中主要基于感性记忆,不够精确.为此,通过表情识别、即时记忆、专注度定义、均值计算最终形成学生听课专注度图形,进而分析教学效果,从而达到教学质量评估的目的.评估标准是质量提升的铺路石,该方案的实现将有助于教学质量的提升.
An automatic teaching quality assessment system based on expression recognition
The Automatic Teaching Quality Assessment System(ATQAS)is a system that school teachers and parents of stu-dents are always looking for.The previous system of assessing the quality of teaching and learning was basically in the form of a questionnaire that students had to fill in manually.The students fill in the form with essentially perceptual memories that are not precise enough.This paper proposes and implements a method to analyse the effectiveness of teaching and learning through expres-sion recognition,instant memory,definition of concentration,calculation of mean value,and finally formation of graphs of students'listening concentration for the purpose of teaching quality assessment.Assessment criteria are the paving stones for quality improve-ment and the realisation of the programme will contribute to the quality of teaching and learning.

recognition of sb's expressionquality of teaching and learningautomated assessmentXception modelpoint-by-point convolution

蒋谨、裴晓梅、徐宝林、欧阳习彪、汤海林

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广东白云学院大数据与计算机学院,广州 510450

表情识别 教学质量 自动评估 Xception模型 逐点卷积

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(24)