As a critical function for intelligent tutoring system services, personalised exercise recommendation plays an important role in boosting the study performance of students. However, recent studies on personalised exercise recommendations have only considered the ability of a student during recommendation and have failed to include the essential relationships between knowledge points, which provide a suitable learning sequence of these knowledge points during a study procedure. In this study, we propose an intelligent exercise recommendation method (weighted knowledge graph-based recommendation [WKG-R]) for students, based on weighted knowledge graphs, wherein each node represents a knowledge point weighted by the ability of a student and an arrowed edge between two knowledge points indicates their prerequisite relationship. The novelty of WKG-R can be summarised as follows: (1) It makes a leading attempt to quantify the ability of a student based on various testing behaviours and (2) it attempts to employ the ability of a student and the prerequisite dependencies between knowledge points for enhancing the effectiveness of personalised exercise recommendation. A real classroom teaching practice was conducted to evaluate the effectiveness of the proposed WKG-R method. The experimental results demonstrated the distinct advantage of WKG-R in improving the testing scores of students as compared with contemporary solutions. The average score improvement ratio of students for WKG-R is up to 33%, whereas for the state-of-the-art solution, it is only 22%. The questionnaires collected from the students also reflected a higher level of satisfaction towards WKG-R than with the contemporary solutions.

中文翻译：

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智能个性化运动推荐：一种基于加权知识图谱的方法

个性化运动推荐作为智能辅导系统服务的一项重要功能，在提升学生学习成绩方面发挥着重要作用。然而，最近关于个性化运动推荐的研究只考虑了学生在推荐过程中的能力，而没有考虑到知识点之间的本质关系，从而为这些知识点在学习过程中提供合适的学习顺序。在本研究中，我们提出了一种基于加权知识图谱的学生智能练习推荐方法（基于加权知识图谱的推荐[WKG-R]），其中每个节点代表一个由学生能力加权的知识点和一个带箭头的两个知识点之间的边表示它们的先决条件关系。WKG-R 的新颖之处可以概括如下：（1）它率先尝试基于各种测试行为来量化学生的能力；（2）它试图利用学生的能力以及两者之间的先决条件依赖关系。提高个性化运动推荐效果的知识点。进行了真实的课堂教学实践以评估所提出的 WKG-R 方法的有效性。实验结果表明，与当代解决方案相比，WKG-R 在提高学生考试成绩方面具有明显优势。WKG-R 的学生平均成绩提升率高达 33%，而最先进的解决方案仅为 22%。