概率相关图推理技术在双向适应机制中的应用研究

Research on Application of Probabilistic Correlative Graph based reasoning technology in the Dual-Adaptive Mechanism

摘要: 针对适应性学习系统应用中双向适应的需求，提出了具有双向反馈式机制的个性化学习系统模型．通过构建数字化学习资源数据库作为系统的核心基础，引入概率相关图技术，一方面作为知识表示的有效方法支撑资源库构建，另一方面能够提供智能推理技术提升系统智能推荐的有效性．使用现代高级程序开发工具设计和开发了双向适应性个性化学习系统，结合教学实践数据进行了实证研究，并提出了下一步工作方向．

Abstract: For the demand of Dual-Adaptive Mechanism, after analysing personalized modeling, digital resource organizations and recommended, correlative graph based probabilistic reasoning technology is introduced into the major learning process. And then designed and developed a personalized learning system of dual-adaptive tested by teaching practice empirical data.