以原型模型提高残疾学生的学习质量,面向技术挖掘成绩

P. Saraswathi, N. Nagadeepa
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引用次数: 0

摘要

在当今世界,残疾学生在学业上仍然是一个挥之不去的问题。电子学习对残疾学生来说是一个学习背景和障碍较少的领域。它主要用于知识发现,促进教育研究的发展。SRM在挖掘方法中侧重于寻找变量之间的强关系。现有算法通过重新扫描数据库来处理静态数据。现有工作的缺点是需要更多的周期来执行算法。为了克服这些缺点,建议的工作旨在提高残疾学生使用信息通信技术辅助工具的表现,以实现他们的目标。为了提高效率,本研究开发了e-LSDS模型,利用规则增益算法根据措施找到相关规则,减少执行时的循环次数。实验研究证明,循环次数少的强规则能提高残疾学生的学习效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prototype model to improve the quality of disability students performance towards mining technology
In today's world, disability students are still lingering and hampering for their academic performance. E-learning is an area of learning background and fewer barriers for disability students. It is mainly used in knowledge discovery to grow the educational research. SRM in mining approach focus to find the strong relationship between the variables. The existing algorithm deals with static data by rescanning the database. The disadvantage of existing work needs more number of cycles to execute the algorithm. To overcome these disadvantages, the proposed work aims to enhance the performance of disability students using assistive tools with ICT to achieve their goals. In order to improve the efficiency, this research work develops the e-LSDS Model with the use of Rule Gain algorithm to find relevant rules according to the measures reduce the number of cycles at the time of execution. The experimental study proves the strong rule with less number of cycles improves the learning gains for the disability students.
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