Correlation Discovery Between High School Student Web Queries and their Grade Point Average

被引:0
作者
Jadav, Jigar [1 ]
Burke, Andrew [1 ]
Goldberg, Greg [1 ]
Lindelin, Dawn [1 ]
Preciado, Andrew [1 ]
Tappert, Charles [1 ]
Kollmer, Michael [1 ]
机构
[1] Pace Univ, Seidenberg Sch Comp Sci & Informat Syst, Pleasantville, NY 10570 USA
来源
2017 IEEE 7TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE IEEE CCWC-2017 | 2017年
关键词
Data analytics; big data privacy and security; classification; regression a nalysis; mobile learning; education; UNIVERSITY-STUDENTS; PRIVACY;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent years, the K-12 learning space has been utilizing mobile devices to supplement student learning. To support the funding of school-issued mobile devices, the schools are interested in determining the degree to which the students use these devices for school-related activities. This study examined high school student web queries performed on school issued iPads using anonymized data from web filter l ogs. T hese web queries were first classified as either school-related or non-schoolrelated using an earlier-developed algorithm. The classification results were then used to examine whether a correlation exists between web queries, especially the school-related ones, and the student's Grade Point Average. Regression analysis found a highly significant c orrelation (p < 0 .00005) b etween the percentage of school-related web queries and the student's Grade Point Average.
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页数:7
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