The paper aims to present application of Educational Data Mining and particularly Case-Based Reasoning (CBR) for students profiling and further to design a personalised intelligent learning system. The main aim here is to develop a recommender system which should help the learners to create learning units (scenarios) that are the most suitable for them. First of all, systematic literature review on application of CBR and its possible implementation to personalise learning was performed in the paper. After that, methodology on CBR application to personalise learning is presented where learning styles play a dominate role as key factor in proposed personalised intelligent learning system model based on students profiling and personalised learning process model. The algorithm (the sequence of steps) to implement this model is also presented in the paper.

中文翻译：

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基于案例的推理在个性化学习中的应用

本文旨在介绍教育数据挖掘，尤其是基于案例的推理（CBR）在学生概况分析中的应用，并进一步设计个性化的智能学习系统。此处的主要目的是开发一个推荐系统，该系统应帮助学习者创建最适合他们的学习单元（场景）。首先，本文对CBR的应用及其可能进行的个性化学习进行了系统的文献综述。之后，提出了基于CBR的个性化学习方法，其中学习风格在基于学生档案和个性化学习过程模型的个性化智能学习系统模型中起着关键作用。