【摘要】 针对如何提高教学效果的问题。利用传统算法进行教学质量评价,计算的复杂度较高,受到评价者主观因素的影响较大,无法保证教学质量评价的快速、客观和公正。为避免上述缺陷,提出了一种基于网络的协作教学模式。利用模糊层次分析法,在网络中对课堂内容、互动方式、教学方法和教学成果进行评价,构成一个完整的教学质量评价体系。计算教学质量评价体系中不同评定方向数据的权值系数,利用神经网络方法,建立教学质量网络评价模型。实验表明,利用网络协作教学模式进行教学质量评价,能够及时对教学中存在的问题进行改进,从而提高教学质量。更多还原

【Abstract】 Study the problem of how to improve the effectiveness of teaching.Teaching Quality Evaluation using traditional algorithms,the computational complexity by evaluators subjective factors influence,can not guarantee a fast,objective and impartial evaluation of the quality of teaching.In order to avoid the above defects,a web-based collaborative teaching model.Fuzzy hierarchical analysis methods,evaluation of classroom content,interactive way,teaching methods and teaching achievements in the network,constitute a complete teaching quality evaluation system.Calculated the coefficient of the weights of the different assessment of the direction of the data quality of teaching evaluation system,using neural network method to establish network evaluation model of teaching quality.The experiments show that,the network collaborative teaching mode of teaching quality evaluation,able to improve the problems in the teaching,and thus improve the quality of teaching,with satisfactory results.更多还原