首页    期刊浏览 2024年07月08日 星期一
登录注册

文章基本信息

  • 标题:Comprehensive Evaluation on Teachers’ Knowledge Sharing Behavior Based on the Improved TOPSIS Method
  • 本地全文:下载
  • 作者:Xiaojuan Yu ; Dianshun Hu ; Na Li
  • 期刊名称:Computational Intelligence and Neuroscience
  • 印刷版ISSN:1687-5265
  • 电子版ISSN:1687-5273
  • 出版年度:2022
  • 卷号:2022
  • DOI:10.1155/2022/2563210
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Knowledge sharing among teachers is one of the important ways to improve their teaching and research ability. From the perspectives of teachers’ knowledge sharing willingness, knowledge sharing ability, knowledge sharing environment, knowledge sharing technology support, knowledge sharing effect, and so forth, this paper constructs a teacher knowledge sharing behavior evaluation model, develops a knowledge sharing behavior evaluation index system, and proposes a comprehensive teacher’s knowledge sharing behavior evaluation method based on the improved entropy-TOPSIS method. This is a comprehensive evaluation method combining subjective and objective weights, which avoids the subjectivity of traditional expert evaluation methods and other multilevel and multi-index weight determination methods and makes the evaluation results more objective, accurate, and more realistic. Finally, by taking the example of evaluating knowledge sharing behavior of teachers in a university of Chongqing, China, this paper verifies the feasibility and practicability of the proposed comprehensive teachers’ knowledge sharing behavior evaluation system and method.
国家哲学社会科学文献中心版权所有