面向自主学习的学习领域知识地图分类算法研究

Research on Concept Map Generation with Classification Method for Adaptive Learning

近期,数据挖掘吸引了大量自主学习领域学者的注意力。因为数据挖掘能够帮助学生们在自主学习过程中得到个性化的学习指导。目前通过数据挖掘绘制概念地图的方法其精准度和复杂度均有待进一步研究。基于分类算法绘制概念地图,可以显著降低数据挖掘计算复杂度,同时保持原有的精准度水平。通过仿真验证所提算法达到上述性能。

Recently, data mining attracts a lot of interests from the area of adaptive learning, because data mining can help students get personal directs in adaptive learning. Currently the means to generate concept map by data mining has to be further researched for its accuracy and efficiency. A concept map generation with classification method is proposed in this paper. The proposed method can lay down the complexity while maintaining the similar accuracy. Evaluation has shown that the proposed method has reached the above target.