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A Discrete Particle Swarm Optimization Based Approach for Review Course Composition

机译:基于离散粒子群优化的课程复习方法

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摘要

In the present learning cycle, new knowledge learning and known knowledge review are two important learning processes. This paper proposes the review course composition system which adopts the discrete particle swarm optimization to quickly pick the suitable materials, and can be customized in accordance with the learner's intention. As a result, such a composition system satisfies the majority of learners with the customized review courses based on their needs.
机译:在当前的学习周期中,新知识学习和已知知识复习是两个重要的学习过程。本文提出了一种复习课程组成系统,该系统采用离散粒子群优化算法快速选择合适的教材,并可以根据学习者的意愿进行定制。结果,这样的作文系统满足大多数学习者基于他们的需求的定制的复习课程。

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