【摘要】 复习是有效地保障教学活动高质量完成的重要环节 .使用Agent技术构建了一个多Agent自适应复习模型 .该模型根据学生的反馈信息 ,不断地修正复习方案 ,以适应学生的个别化学习 ,达到有效的指导学生复习、提高复习质量的目的 .模拟实验表明该模型能解决已有智能教学系统中复习模型的一些不足 .更多还原

【Abstract】 Review is an important phase of teaching; it can guarantee the fulfilling of the teaching task efficiently. After analyzing the old models of review, this paper constructs an adaptive model of review (ARM) based on multi-agent technology and does system experiments. Through the negotiations of teach-agent, student-agent, analysis-agent and review-agent, the model can modify the project of review according to the feedback from the student, then the project can provide students with personalized learning environment so as to give students efficient guidance and improve the quality of the review. In system experiments, this model solves some shortage of Intelligent Tutoring System (ITS) in existence.更多还原