基于神经网络的CAI课件的综合评价研究与应用  

Integrated Evaluation Research of Multimedia Courseware Based on Neural Network

作　　者：曹世华[1] 赵方[2] 沈惠惠[3] 

机构地区：[1]杭州师范大学网络中心,浙江杭州310012 [2]北京邮电大学软件学院,北京100876 [3]陕西师范大学旅环学院,陕西西安710062

出　　处：《实验室研究与探索》2008年第8期25-27,43,共4页Research and Exploration In Laboratory

基　　金：国家973基金项目(2003CB314806);杭州师范大学重点科研项目资助(2006XAZ04)

摘　　要：利用神经网络的自适应性和自学习功能,提出了一种CAI课件的综合评价方法,给出了CAI课件的各参考评价指标,并讨论了如何使用综合评价方法获得综合评价的结果,。研究表明该方法比传统评价过程更具客观、准确、科学、高效的特点。The self-adaptability and self-learning function of the neural network were used to evaluate the multi-media courseware. By evaluating its demand analysis, this article confirmed the model of evaluating system and drew conclusions by utilizing MATLA with each evaluation index as its input. The outcome shows that the evaluation of multimedia courseware by neural network may overcome the complexity and subjective factors in the way of traditional evaluation. Besides, it is convenient, accurate, scientific and quick.

关 键 词：神经网络 CAI课件 综合评价 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]