教育数据挖掘方法综述

Abdul Aleem, M. M. Gore
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引用次数: 13

摘要

教育数据挖掘(EDM)是一个涉及教育和计算机科学的新兴跨学科研究领域。EDM使用数据挖掘工具和技术,在与教育相关的大型数据集上提取有意义和有用的信息。EDM致力于通过引入更好、更有效的学习实践来改进教育过程。EDM方法是指用于构建模型/应用程序的一组方法。本文对电火花加工方法进行了广泛的文献综述。文章还讨论了电火花加工的研究趋势和面临的挑战。本文对电火花加工的深入研究,旨在为有志于进一步研究电火花加工领域的研究人员提供有用和有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Educational Data Mining Methods: A Survey
Educational Data Mining (EDM) is an emerging inter-disciplinary research area that involves education and computer science. EDM employs data mining tools and techniques, on large datasets related to education, to extract meaningful and useful information. EDM works toward the improvement of educational processes by introducing better and effective learning practices. EDM methods refer to the set of methods that are used for building models/applications. This article presents an extensive literature survey of EDM methods. The article also discusses research trends and challenges in EDM. This insight into EDM attempts to provide useful and valuable information to researchers interested in furthering the field of EDM.
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