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本文描述了一个建于ｗｗｗ之上的智能自适应软件系统，该系统基本结构类似通常的智能辅助教学系统（ＩＴＳ），其个别化教学机制是通过适应性学习和掌握学习策略而实现的。本系统的主要特征是（１）学习者知识状态评估是建立在其选择知识内容节点的频率和评估分数之上；（２）基于学习历史适应性呈现和产生教学内容。
This paper describes a smart adaptive software system built on WWW. The basic structure of this system is similar to the usual Intelligent Assisted Instruction System (ITS). Its individualized teaching mechanism is achieved through adaptive learning and mastery of learning strategies. The main features of this system are: (1) Learner knowledge state assessment is based on the frequency and assessment score of the nodes that choose knowledge content; (2) The teaching content is presented and generated based on learning history adaptability.