SDLO寻找最佳伙伴学习服务研究

Research of searching optimal associate learning service of SDLO

在分析SDLO原寻找伙伴学习服务的基础上,分析影响寻找最佳伙伴的因素,给出寻找最佳伙伴学习服务算法,并建立相应的数学模型。该数学模型和算法考虑到伙伴的个性特征和动态协作信息,可为需要帮助的学生找到一个最佳的学习伙伴。实验结果表明,寻找最佳伙伴学习服务较之原寻找伙伴学习服务可以提高学生个体的学习效率,从而有利于小组整体认知能力、协作能力等方面的提高。

Based on the analysis of primary searching associate service of super distributed learning object （SDLO）, the factors of in- fluencing searching optimal associate are analyzed, the algorithm of searching optimal associate and the mathematical model are constructed. The system can find a optimal associate for the student who needs help using the mathematical model and algorithm, which pay attention to personal character and dynamic collaboration information of associates. Experimental results show that searching optimal associate service could improve students＇ individual study efficiency so as to improve the cognitive capability and collaborative capability of the whole group.