With the rapid advancement of education, personalized learning has gained considerable attention in recent years. Learning path plays an important role in this area and has attracted great concern. Many generating mechanisms have been proposed from different perspectives for assisting learning. Some methods focus on learners’ interest, while some methods pay close attention to learning styles. This article proposes a new learning path generating method named learning diagnosis–learning path (LD–LP), which is based on knowledge structure and learning diagnosis. Different from the previous work, it takes knowledge relation, learner's ability, learning time, and repetition into account. The difficulty of knowledge provided to students will be adjusted according to students’ academic achievement and learning time adaptively. The system generates personalized learning path by the sequence of learning knowledge. Students who were majoring in mathematics were invited to participate in the experiment. Experimental result demonstrates that LD–LP works effectively and it has high adaptivity and positive feedback.

中文翻译：

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基于学习诊断的个性化学习路径的LD-LP生成

随着教育的飞速发展，近年来个性化学习备受关注。学习道路在这一领域起着重要作用，并引起了极大的关注。从不同的角度提出了许多辅助学习的生成机制。有些方法着重于学习者的兴趣，而有些方法则密切关注学习风格。本文提出了一种基于知识结构和学习诊断的新的学习路径生成方法，称为学习诊断学习路径（LD-LP）。与以前的工作不同，它考虑了知识关系，学习者的能力，学习时间和重复性。提供给学生的知识难度将根据学生的学习成绩和学习时间进行调整。该系统通过学习知识的顺序生成个性化的学习路径。数学专业的学生被邀请参加实验。实验结果表明，LD-LP有效工作，具有较高的适应性和正反馈能力。