基于数据挖掘的学习行为分析算法在国际化人才培养中的应用

Zhong Wu, Chuan Zhou
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摘要

近年来,数据挖掘作为一种应用范围广泛的技术,在各个领域得到了广泛的应用。目前,数据挖掘在学习领域的作用正在上升。分析学习管理的主要问题是不同的学习者有不同的风格和行为。我们需要从各个方面来评估这个系统。在现有的教学方法中,比较注重对学习者的评价。本文对学习管理系统的评价进行了探讨,提出了一种新的学习管理系统评价方法。结果表明,主动学习者有72人,直觉学习者有31人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Learning Behavior Analysis Algorithm Based on Data Mining in the Cultivation of International Talents
In recent years, data mining, as a wide range of applications, has emerged and been widely used in various fields. At present, the role of data mining in the field of learning is on the rise. The main problem of analyzing learning management is that different learners have different styles and behaviors. We need to evaluate the system from all aspects. In the existing teaching methods, more attention is paid to the evaluation of learners. This paper discusses the evaluation of learning management system, and puts forward a new evaluation method of learning management system. The results show that there are 72 active learners and 31 intuitive learners.
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