Big data in higher education: an action research on managing student engagement with business intelligence
| dc.contributor.author | Duan, Yanqing | en |
| dc.contributor.author | Cao, Guangming | en |
| dc.contributor.author | Ong, Vincent Koon | en |
| dc.contributor.author | Woolley, Marcus | en |
| dc.date.accessioned | 2013-12-20T08:02:04Z | |
| dc.date.available | 2013-12-20T08:02:04Z | |
| dc.date.issued | 2013 | |
| dc.identifier.citation | Yanqing, D., Guangming, C., One, V., Woolley, M. (2013) 'Big Data in Higher Education: An action research on managing student engagement with business intelligence', Second International Conference on Emerging Research Paradigm in Business and Social Science, Middlesex University, Dubai, 26-28 November 2013. | en |
| dc.identifier.uri | http://hdl.handle.net/10547/308798 | |
| dc.description.abstract | This research aims to explore the value of Big Data in student engagement management. It presents an action research on applying BI in a UK higher education institution that has developed and implemented a student engagement tracking system (SES) for better student engagement management. The SES collects data from various sources, including RFID tracking devices across many locations in the campus and student online activities. This public funded research project has enhanced the current SES with BI solutions and raised awareness on the value of the Big Data in improving student experience. The action research concerns with the organizational wide development and deployment of Intelligent Student Engagement System involving a diverse range of stakeholders. The activities undertaken to date have revealed interesting findings and implications for advancing our understanding and research in leveraging the benefit of the Big Data in Higher Education from a socio-technical perspective. | |
| dc.language.iso | en | en |
| dc.subject | big data | en |
| dc.subject | student engagement | en |
| dc.subject | business intelligence | en |
| dc.subject | action research | en |
| dc.subject | higher education | en |
| dc.subject | socio-technical approach | en |
| dc.title | Big data in higher education: an action research on managing student engagement with business intelligence | en |
| dc.type | Article | en |
| dc.type | Preprint | en |
| dc.contributor.department | University of Bedfordshire | en |
| dc.description.link | http://www.mdx.ac/files/ERPBSS-Conference-Programme-181113.pdf | en |
| html.description.abstract | This research aims to explore the value of Big Data in student engagement management. It presents an action research on applying BI in a UK higher education institution that has developed and implemented a student engagement tracking system (SES) for better student engagement management. The SES collects data from various sources, including RFID tracking devices across many locations in the campus and student online activities. This public funded research project has enhanced the current SES with BI solutions and raised awareness on the value of the Big Data in improving student experience. The action research concerns with the organizational wide development and deployment of Intelligent Student Engagement System involving a diverse range of stakeholders. The activities undertaken to date have revealed interesting findings and implications for advancing our understanding and research in leveraging the benefit of the Big Data in Higher Education from a socio-technical perspective. |
