利用模糊神经网络方法建立CSCL分组模型

Construction of CSCL division model based on fuzzy nerve network

针对目前计算机支持的协作学习存在硬性分组和分组依据模糊性等问题,提出利用数据挖掘方法获取影响协作学习分组性能的基本因素,然后利用模糊神经网络方法对基本因素进行分析进而构建出协作学习的分组模型。并且该方法在某高中信息技术课程的协作学习分组中得到有效应用。

Considering the present difficulty in hardware division of collaborative learning,the factors influencing CSCL division are provided based on the data-mining method,and then analyzed to construct the CSCL division model based on fuzzy nerve network.The division model has been tested by applying to a senior high school IT class.