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协同训练在教师评估中的应用 被引量:1

Co-training Approach for Teacher Evaluation
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摘要 采用协同训练技术提出了智能化教师评估系统的设计方法.该方法通过对特征的量化和基于协同训练的神经网络技术,利用学生评估和专家评估相结合的方法对教师进行评估.实验结果说明,该方法能够客观公正地评价教师教学质量,从而调动教师的教学积极性,提高教学质量. A design method of intelligent teacher evaluation system is proposed based on the technique of co-training. By quantizing features and based on the co-training of neural network technique, the evaluation process take a combination way of students and experts. Experiment results show that actual situations Can be reflected in the results of evaluations to teachers which are benefit to improve teaching quality.
出处 《延边大学学报(自然科学版)》 CAS 2009年第2期167-170,共4页 Journal of Yanbian University(Natural Science Edition)
关键词 协同训练 神经网络 智能化 教师评估 co-training neural network intelligent teacher evaluation
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参考文献9

  • 1金诚.大学教师评估中“学生评教”的理性审视[J].江苏高教,2008(5):67-68. 被引量:16
  • 2刘英利 王海霞.基于BP神经网络的高校教师教学质量评价模型研究.高校教育研究,2008,7(1):12-15.
  • 3陈德良,曲维光,周春林.基于神经网络的教师教学评估系统[J].南京师范大学学报(工程技术版),2004,4(1):73-75. 被引量:6
  • 4Blum A,Mitchell T.Combining Labeled and Unlabeled Data with Co-training[C]//Proceedings of the 11th Annual Conference on Computational Learning Theory(COLT'98),Wisconsin,MI,1998:92-100.
  • 5Goldman S,Zhou Y.Enhancing Supervised Learning with Unlabeled Data[C]//Proceedings of the 17th International Conference on Machine Learning(ICML'00),San Francisco,CA,2000:327-334.
  • 6Angluin D,Laird P.Learning from Noisy Examples[J].Machine Learning,1988,2(4):343-370.
  • 7Zhou Z H,Li M.Tri-training:Exploiting Unlabeled Data Using Three Classifiers[J].IEEE Transactions on Knowledge and Data Engineering,2005,17(11):1529-1541.
  • 8Mavroeidis D,Chaidos K,Pirillos S,et al.Using Tri-training and Support Vector Machines for Addressing the ECML/PKDD 2006 Discovery Challenge[C]//Proceedings of the ECML-PKDD Discovery Challenge Workshop,Berlin,Germany,2006:39-47.
  • 9Brefeld U,Grtner T,Scheffer T,et al.Efficient Co-regularised Least Squares Regression[C]//Proceedings of the 23rd International Conference on Machine Learning(ICML'06),Pittsburgh,PA,2006:137-144.

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