TY - GEN
T1 - Spatial computing goes to education and beyond
T2 - 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2016
AU - Heo, Joon
AU - Yoon, Sanghyun
AU - Oh, Won Seob
AU - Ma, Jong Won
AU - Ju, Sungha
AU - Yun, Sung Bum
N1 - Publisher Copyright:
© 2016 ACM.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/10/31
Y1 - 2016/10/31
N2 - Spatial big data (SBD) has been utilized in many fields and we propose SBD analytics to apply to education with semantic trajectory data of undergraduate students in Songdo International Campus at Yonsei University. Higher education is under a pressure of disruptive innovation, so that colleges and universities strive to provide not only better education but also customized service to every single student, for a matter of survival in upcoming drastic wave. The entire research plan is to present a smart campus with SBD analytics for education, safety, health, and campus management, and this research is composed of four specific items: (1) to produce 3D mapping for project site; (2) to build semantic trajectory based on class attendance records, dorm gate entry records, etc.; (3) to collect pedagogical and other parameters of students; (4) to find relationship among trajectory patterns and pedagogical characteristics. Successful completion of the research would set a milestone to use semantic trajectory to predict student performance and characteristics, even further to go to proactive student care system and student activity guiding system. It can eventually present better customized education services to participating students.
AB - Spatial big data (SBD) has been utilized in many fields and we propose SBD analytics to apply to education with semantic trajectory data of undergraduate students in Songdo International Campus at Yonsei University. Higher education is under a pressure of disruptive innovation, so that colleges and universities strive to provide not only better education but also customized service to every single student, for a matter of survival in upcoming drastic wave. The entire research plan is to present a smart campus with SBD analytics for education, safety, health, and campus management, and this research is composed of four specific items: (1) to produce 3D mapping for project site; (2) to build semantic trajectory based on class attendance records, dorm gate entry records, etc.; (3) to collect pedagogical and other parameters of students; (4) to find relationship among trajectory patterns and pedagogical characteristics. Successful completion of the research would set a milestone to use semantic trajectory to predict student performance and characteristics, even further to go to proactive student care system and student activity guiding system. It can eventually present better customized education services to participating students.
UR - http://www.scopus.com/inward/record.url?scp=85005822662&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85005822662&partnerID=8YFLogxK
U2 - 10.1145/3006386.3006389
DO - 10.1145/3006386.3006389
M3 - Conference contribution
AN - SCOPUS:85005822662
T3 - Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2016
SP - 14
EP - 17
BT - Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2016
A2 - Vatsavai, Ranga Raju
A2 - Chandola, Varun
PB - Association for Computing Machinery, Inc
Y2 - 31 October 2016
ER -