Prerequisite inadequacy causes more MOOC drop-out. As an effective method interfering with learning process, existing MOOC recommendation is mainly about subsequent learning objects that have not been learned before. This paper proposes a locating-based MOOC recommendation method with consideration on prerequisite relationship. It locates the target learner’s learning paths and provides prerequisite recommendation for unqualified learning objects and subsequent recommendation for the qualified objects. Experiments on real-world data show both the accuracy and learning performance improvement of our recommendation method.

中文翻译：

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与先决条件相关的MOOC关于学习路径定位的建议

前提条件不足会导致更多的MOOC退出。作为一种有效的干扰学习过程的方法，现有的MOOC建议主要是关于以前从未学习过的后续学习对象。考虑到先决条件之间的关系，提出了一种基于定位的MOOC推荐方法。它找到目标学习者的学习路径，并为不合格的学习对象提供先决条件推荐，并为合格的对象提供后续推荐。实际数据的实验表明，我们推荐方法的准确性和学习性能都有所提高。