BP神经网络在高等职业院校教师综合评价中的应用
The Application of BP Neural Network in the Comprehensive Evaluation of Teachers in Higher Vocational Colleges
戴庆光1
作者信息
- 1. 新疆铁道职业技术学院,新疆乌鲁木齐,830000
- 折叠
摘要
教师综合评价是教育评估中的重要组成部分之一.传统的教师综合评价方法对促进教师提高教学水平起到了一定的积极作用,但这些方法都摆脱不了人为因素对评价结果的直接影响.人工神经网络作为一种新技术,以其自有的模拟人的思维、非线性映射和自学习等能力为不确定性和非线性问题的研究开辟了新的途径,在各类评价问题上应用很多.本课题将人工神经网络(BP神经网络)引入教师综合评价中,克服了人为因素对评价结果的直接影响,并通过仿真实验表明,神经网络用于教师综合评价完全可行,为高等职业院校教师综合评价提供了方便实用的工具.
Abstract
Comprehensive evaluation of teachers is a one of the important components of educational evaluation.The traditional comprehensive evaluation methods for teachers have played a certain positive role in promoting the improvement of teaching level,but these methods cannot escape the direct influence of human factors on the evaluation results.As a new technology,artificial neural network,has opened up new avenues for the study of uncertainty and nonlinear problems with their own abilities such as simulating human thinking,nonlinear mapping,and self-learning,and has been applied widely in appraisal fields.This paper introduces artificial neural networks(BP neural network)into the comprehensive evaluation of teachers,overcoming the direct impact of human factors on the evaluation results.Simulation experiments show that neural network is completely feasible for the comprehensive evaluation of teachers,providing a convenient and practical tool for the comprehensive evaluation of teachers in higher vocational colleges.
关键词
教师评价/人工神经网络/BP神经网络/评价指标体系Key words
Teacher Evaluation/Artificial Neural Network/BP Neural Network/Evaluation Index System引用本文复制引用
出版年
2024
NETL
NSTL
万方数据