A Comprehensive Framework for Big Data Analytics in Education

被引：0
|
作者：
Shidaganti, Ganeshayya [1 ,2 ]
Prakash, S. [3 ]
机构：
[1] Visvesvaraya Technol Univ, Belagavi, Karnataka, India
[2] MS Ramaiah Inst Technol, Dept CSE, Bengaluru, Karnataka, India
[3] East Point Coll Engn & Technol, Dept CSE, Bengaluru, India
来源：
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2021年 / 12卷 / 09期
关键词：
Big data; data analytics; educational big data; predictive analytics; text mining; machine learning; education technology;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
With the adoption of cloud services for hosting knowledge delivery system in educational domain, there is a surplus quantity of education data being generated every day by current learning management system. Such data are associated with certain typical complexities that impose significant challenges for existing database management and analytics. Review of existing approaches towards educational data highlights that they do not offer full-fledged solution towards analytics and still there is an open-end problem. Therefore, the proposed system introduces a comprehensive framework which offers integrated operation of transformation, data quality, and predictive analytics. The emphasis is more towards achieving distributed analytical operation towards educational data in cloud. Implemented using analytical research methodology, the proposed system shows better analytical performance with respect to frequently used educational data analytical approaches.
引用
收藏
页码：218 / 227
页数：10
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