Scholarlink

<p>The traditional evaluation methods mainly rely on the subjective observation and grading of teachers, which are easy to be affected by subjective factors, and the evaluation results are not objective and accurate. Therefore, the teacher evaluation system based on facial recognition sensor has become an effective way to solve this problem. This paper develops a system that can automatically analyze the teacher’s facial expression and body language, and accurately evaluate the teacher’s teaching effect through intelligent feedback algorithm. Facial recognition sensors and data acquisition and processing algorithms are used in the study. When teachers use the system to teach in the classroom, the facial recognition sensor records the teacher’s facial expressions and body language, and transmits the data to the background for processing and analysis. Intelligent feedback algorithms generate accurate evaluations and personalized recommendations based on the analysis results to help teachers improve teaching results. The results show that the teacher evaluation system based on facial recognition sensing and intelligent feedback system can accurately capture and analyze the teacher’s facial expression and body language, and generate objective and accurate evaluations and suggestions. Compared with traditional evaluation methods, this system can eliminate subjective bias and improve the objectivity and accuracy of evaluation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Evaluation and guidance system for preschool education teachers based on intelligent evaluation and feedback system

  • 期刊论文

  • 发表日期：

    2026年3月17日

查看全文
  • Nan Shan,
  • Mingfu Ding,
  • Yan Zhao

摘要

The traditional evaluation methods mainly rely on the subjective observation and grading of teachers, which are easy to be affected by subjective factors, and the evaluation results are not objective and accurate. Therefore, the teacher evaluation system based on facial recognition sensor has become an effective way to solve this problem. This paper develops a system that can automatically analyze the teacher’s facial expression and body language, and accurately evaluate the teacher’s teaching effect through intelligent feedback algorithm. Facial recognition sensors and data acquisition and processing algorithms are used in the study. When teachers use the system to teach in the classroom, the facial recognition sensor records the teacher’s facial expressions and body language, and transmits the data to the background for processing and analysis. Intelligent feedback algorithms generate accurate evaluations and personalized recommendations based on the analysis results to help teachers improve teaching results. The results show that the teacher evaluation system based on facial recognition sensing and intelligent feedback system can accurately capture and analyze the teacher’s facial expression and body language, and generate objective and accurate evaluations and suggestions. Compared with traditional evaluation methods, this system can eliminate subjective bias and improve the objectivity and accuracy of evaluation.