网络环境下自适应学习系统研究

Research of Adaptive Learning System in Network Environment

针对网络环境下自适应学习系统发展中遇到的新问题,如学习者个性特征的挖掘及自适应学习策略的生成等,提出了一种新的自适应学习系统,即在建立个性化学习者模型的基础上,进一步研究相应的数据挖掘算法在自适应学习中的应用,得到学习者的个性特征与学习行为之间的关联规则,并最终生成自适应的学习策略提供给学习者;仿真研究表明,本系统设计先进,较好地实现了学习过程的自适应性。

The development of the adaptive learning system in network environment meets some new problems, such as the problems of the learner＇s personality characteristic mining and the adaptive learning strategy building and so on, an new adaptive learning system is proposed for those problems . On the basis of establishing the learner＇s personality characteristic model, further study the corresponding data mining algorithm in adaptive learning system, and find the association rule between the learner＇s personality characteristic and the study behavior, finally build the adaptive learning strategy for the learner. The simulation research shows this system designed is advanced, and has realized the learning study process adaptive well.