基于多Agent和本体技术的适应性学习系统的研究与实现

Design And Implementation Of Adaptive Learning System Based On Multi-Agent And Ontology Technology

针对当前在线学习系统在推荐资源时不能充分考虑学习者的个性化特征,本文提出基于多Agent和本体技术的适应性学习系统模型(the Multi-Agent-Based and Ontology-based Adaptive Learning System Model,MOALSM)。本文以小学数学为例,结合Agent的自治性、自适应性以及本体技术在表达和推理方面的优势,构建知识本体库以及学习者模型,并设计自适应机制,根据学习者的个性化特征推荐个性化的学习资源。

In view of the fact that the current online learning system can not fully consider the learner's personalized characteristics when recommending resources,this paper proposes a multi-agent-based and ontology-based adaptive learning system model(MOALSM).Taking elementary school mathematics as an example,combining the advantages of autonomy,self-adaptability of Agent and ontology technology in expression and reasoning,this paper constructs knowledge ontology database and learner model,and designs self-adaptive mechanism to recommend personalized learning resources according to learner's personalized characteristics..