摘要
网络课程的质量评价关系到网络教学水平和学习质量的提高。传统的网络课程质量评价方法过程复杂,往往带有很大的主观随意性。为了更科学、客观地评价网络课程,可应用层次分析法(AHP)确定网络课程质量评价指标体系,构建人工神经网络(ANN)的网络课程评价模型。实验结果表明,该评价方法具有速度快、准确率高的优点,并得到了满意的评价结果。
The quality appraisal of network courses is related to the network teaching level and the study quality. To evaluating network curriculum scientifiely and objectivly, this paper establishes a network courses quality appraisal target system with analytic method of process ( AHP), builds the model of network courses appraisal with artificial neural networks (ANN). The experimental result indicates that the appraisal method has advantages of quick speed and high accuracy. The appraisal result is satisfactory.
出处
《江苏广播电视大学学报》
2006年第6期31-34,共4页
Journal of Jiangsu Radio & Television University