TY - GEN
T1 - Integrating privacy in architecture design of student information system for big data analytics
AU - Barril, José Farnesio Huesca
AU - Tan, Qing
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - Educational Data Mining (EDM) is an area of growing interest in academia with significant challenges and tremendous opportunities. Most EDM initiatives are based on finding patterns to aid and enhance student learning and performance, while others focus on program efficiency, service improvement, and college readiness. This paper is related to a case study being conducted at Sta. Teresa School, a high school in the Northern District of a West African country looking to improve service quality. By combining its Relational Database School Management System data sets with its anticipated online community forum, and aggregating it with Social media data, the school is expected to gain new actionable insights to enhance student services. In this paper, we present a model for incorporating privacy into big data analytics architecture integration with Social media, discuss some of the school's concern related to privacy and security, and offer some delivery options for its online community forum initiative.
AB - Educational Data Mining (EDM) is an area of growing interest in academia with significant challenges and tremendous opportunities. Most EDM initiatives are based on finding patterns to aid and enhance student learning and performance, while others focus on program efficiency, service improvement, and college readiness. This paper is related to a case study being conducted at Sta. Teresa School, a high school in the Northern District of a West African country looking to improve service quality. By combining its Relational Database School Management System data sets with its anticipated online community forum, and aggregating it with Social media data, the school is expected to gain new actionable insights to enhance student services. In this paper, we present a model for incorporating privacy into big data analytics architecture integration with Social media, discuss some of the school's concern related to privacy and security, and offer some delivery options for its online community forum initiative.
KW - big data analytics
KW - big data analytics architecture
KW - cloud
KW - data security and privacy
KW - digital education
KW - educational data mining
KW - online community data mining
KW - opinion mining
UR - http://www.scopus.com/inward/record.url?scp=85024382102&partnerID=8YFLogxK
U2 - 10.1109/ICCCBDA.2017.7951899
DO - 10.1109/ICCCBDA.2017.7951899
M3 - Published Conference contribution
AN - SCOPUS:85024382102
T3 - 2017 2nd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2017
SP - 139
EP - 144
BT - 2017 2nd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2017
T2 - 2nd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2017
Y2 - 28 April 2017 through 30 April 2017
ER -