Intelligent student engagement management : applying business intelligence in higher education

2.50
Hdl Handle:
http://hdl.handle.net/10547/308828
Title:
Intelligent student engagement management : applying business intelligence in higher education
Authors:
Duan, Yanqing; Cao, Guangming; One, Vincent; Woolley, Marcus
Abstract:
Advances in emerging ICT have enabled organisations to develop innovative ways to intelligently collect data that may not be possible before. However, this leads to the explosion of data and unprecedented challenges in making strategic and effective use of available data. This research-in-progress paper presents an action research focusing on applying business intelligence (BI) in a UK higher education institution that has developed a student engagement tracking system (SES) for student engagement management. The current system serves merely as a data collection and processing system, which needs significant enhancement for better decision support. This action research aims to enhance the current SETS with BI solutions and explore its strategic use. The research attempts to follow socio-technical approach in its effort to make the BI application a success. Progress and experience so far has revealed interesting findings on advancing our understanding and research in organisation-wide BI for better decision-making.
Affiliation:
University of Bedfordshire
Citation:
Yanqing, D.; Guangming, C.; One, V. and Woolley, M. (2013) 'Intelligent Student Engagement Management - Applying Business Intelligence in Higher Education'. International Conference on Information and Social Science (ISS 2013). Nagoya, Japan, 24-26 September 2013.
Issue Date:
2013
URI:
http://hdl.handle.net/10547/308828
Additional Links:
http://ibac-conference.org/ISS%20&%20MLB%202013/Pages/ISS2013.htm; http://ibac-conference.org/ISS%20&%20MLB%202013/Papers/ISS%202013/A1072..docx.pdf
Type:
Conference papers, meetings and proceedings; Preprint
Language:
en
Appears in Collections:
Business and Information Systems Research Centre (BISC)

Full metadata record

DC FieldValue Language
dc.contributor.authorDuan, Yanqingen
dc.contributor.authorCao, Guangmingen
dc.contributor.authorOne, Vincenten
dc.contributor.authorWoolley, Marcusen
dc.date.accessioned2013-12-20T10:28:07Z-
dc.date.available2013-12-20T10:28:07Z-
dc.date.issued2013-
dc.identifier.citationYanqing, D.; Guangming, C.; One, V. and Woolley, M. (2013) 'Intelligent Student Engagement Management - Applying Business Intelligence in Higher Education'. International Conference on Information and Social Science (ISS 2013). Nagoya, Japan, 24-26 September 2013.en
dc.identifier.urihttp://hdl.handle.net/10547/308828-
dc.description.abstractAdvances in emerging ICT have enabled organisations to develop innovative ways to intelligently collect data that may not be possible before. However, this leads to the explosion of data and unprecedented challenges in making strategic and effective use of available data. This research-in-progress paper presents an action research focusing on applying business intelligence (BI) in a UK higher education institution that has developed a student engagement tracking system (SES) for student engagement management. The current system serves merely as a data collection and processing system, which needs significant enhancement for better decision support. This action research aims to enhance the current SETS with BI solutions and explore its strategic use. The research attempts to follow socio-technical approach in its effort to make the BI application a success. Progress and experience so far has revealed interesting findings on advancing our understanding and research in organisation-wide BI for better decision-making.en
dc.language.isoenen
dc.relation.urlhttp://ibac-conference.org/ISS%20&%20MLB%202013/Pages/ISS2013.htmen
dc.relation.urlhttp://ibac-conference.org/ISS%20&%20MLB%202013/Papers/ISS%202013/A1072..docx.pdfen
dc.subjectStudent engagementen
dc.subjectBusiness intelligenceen
dc.subjectDecision makingen
dc.subjectHigher educationen
dc.subjectSocio-technical approachen
dc.subjectBig dataen
dc.titleIntelligent student engagement management : applying business intelligence in higher educationen
dc.typeConference papers, meetings and proceedingsen
dc.typePreprinten
dc.contributor.departmentUniversity of Bedfordshireen
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