摘要
针对传统教学质量评价系统的不足,利用PSO神经网络技术建立高校教学质量评价系统。该系统采用了PSO神经网络技术,将教学评价标准作为输入,教学评价结果作为输出。以中北大学为例进行的实证研究表明,所提方法既克服了人为因素对评价结果的直接影响,又为建立全面合理的综合评价指标体系奠定基础。
Aiming at the deficiencies of traditional teaching quality evaluation systems, the university teaching quality ewduation system is constructed based on PSO neural network. This system uses the PSO neural network, and takes the teaching evaluation criteria as input and the teaching evaluation results as output. The empirical researche of North University of China shows that the proposed evaluation method not only overcomes the direct influence of human factor on evaluation results, but also lays the foundation for construction of comprehensive and rational synthetic evaluation index system.
出处
《计算机与网络》
2015年第5期52-54,共3页
Computer & Network
基金
山西省高等学校教学改革项目(J2013057)
山西省教育科学"十二五"规划课题(GH-13060)
全国教育信息技术研究"十二五"规划课题(146241697)
