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篇名 |
可变精度粗糙集模型在远程开放教育中的应用
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並列篇名 | Application Research in the Field of ODL Performance Analysis of Variable Precision Rough Set Based on Relational Model |
作者 | 吴兵、叶春明 |
中文摘要 | 开放远程教育是一个新兴的教学组织方式,它有信息密集型和知识管理型的特点。在知识管理时代,面对庞大的教学规模,教学管理者迫切希望从大量的信息中获得有效的知识来辅助管理,从而提高教学管理效率和水平。本文构建了一个基于关系演算的可变精度粗糙集模型,探索开放教育学习者成绩信息的知识发现。通过在真实数据上的算法实验,表明这个模型克服了传统粗糙集的不足,是一个有效的算法改进。实验获得了关于学习者成绩的初步知识规则,为学校的管理工作指明了方向,并且就学校的知识管理工作进行了有效的尝试。 |
英文摘要 | Open and Distance Education is a growing model of teaching. It has certain characteristics of intensive information use and knowledge management. In the age of knowledge management, and faced with rapid growth of the scale of teaching, administrators are eager to gain knowledge through large amount of data to improve decision making, management efficiency and teaching effectiveness. In this paper, we propose a model of variable precision rough set based on relational operations. Through applications in the field of ODL performance and experiment with empirical data, the model has proved to be an effective algorithm as it has overcome the shortages of the traditional Rough Set Model. Furthermore, through related experiments, we also gain some elementary knowledge principles regarding the ODL students' learning outcomes, which is not only an effective attempt of knowledge management in ODL organizations, but also indicates the direction for future work. |
起訖頁 | 88-95 |
關鍵詞 | 知识管理、数据挖掘、粗糙集、可变精度、远程开放教育、学生成绩分析、knowledge management、data mining、rough set、variable precision、ODL |
刊名 | 開放教育研究 |
期數 | 200912 (15:6期) |
出版單位 | 上海遠程教育集團;上海電視大學 |
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