首页    期刊浏览 2024年12月03日 星期二
登录注册

文章基本信息

  • 标题:College English Classroom Teaching Evaluation Based on Particle Swarm Optimization – Extreme Learning Machine Model
  • 本地全文:下载
  • 作者:Baojian Wang ; Jing Wang ; Guoqiang Hu
  • 期刊名称:International Journal of Emerging Technologies in Learning (iJET)
  • 印刷版ISSN:1863-0383
  • 出版年度:2017
  • 卷号:12
  • 期号:5
  • 页码:82-97
  • 语种:English
  • 出版社:Kassel University Press
  • 其他摘要:The quality evaluation of English classroom teaching carries great significance in promoting English teaching reform and raising the quality of English education at university level in China. In this paper, a quality evaluation index system is introduced for the classroom teaching of English as a foreign language (EFL), and an EFL classroom teaching quality evaluation model is built based on the PSO-ELM algorithm with an ELM model constructed for comparison. A comparison shows that the PSO-ELM algorithm can obtain better accuracy with less hidden layer neurons, hence lowering the demand upon experiment samples and strengthening the fitting ability of the model. Experiment results show that the PSO-ELM algorithm is feasible to evaluate classroom teaching of English as a foreign language. The designed English classroom teaching quality evaluation index system is thus confirmed as effective, and is expected to improve the quality and management of classroom teaching of English as a foreign language.
  • 关键词:PSO-ELM model;classroom teaching evaluation;college English teaching
国家哲学社会科学文献中心版权所有