Intelligent student engagement management : applying business intelligence in higher education

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.

[1]  Barbara Wixom,et al.  Developing an Enterprise Business Intelligence Capability: The Norfolk Southern Journey , 2011, MIS Q. Executive.

[2]  Vafa Ghaffarian,et al.  The new stream of socio-technical approach and main stream information systems research , 2011, WCIT.

[3]  George D. Kuh.  Assessing What Really Matters to Student Learning Inside The National Survey of Student Engagement , 2001 .

[4]  Sangmi Chai,et al.  A socio-technical approach to knowledge contribution behavior: An empirical investigation of social networking sites users , 2012, Int. J. Inf. Manag..

[5]  Mykola Pechenizkiy,et al.  Predicting Students Drop Out: A Case Study , 2009, EDM.

[6]  Robert P. Bostrom,et al.  MIS Problems and failures: a sociotechnical perspective part I: the cause , 1977 .

[7]  Surajit Chaudhuri,et al.  An overview of business intelligence technology , 2011, Commun. ACM.

[8]  H. Coates.  Development of the Australasian survey of student engagement (AUSSE) , 2010 .

[9]  Robert P. Bostrom,et al.  Mis problems and failures: a socio-technical perspective , 1977 .

[10]  Vicki Trowler.  Student engagement literature review , 2010 .

[11]  David E. Avison,et al.  Action research , 1999, CACM.

[12]  Sotiris B. Kotsiantis,et al.  Preventing Student Dropout in Distance Learning Using Machine Learning Techniques , 2003, KES.

[13]  Markus Grünwald,et al.  Business Intelligence , 2009, Informatik-Spektrum.

[14]  P BostromRobert,et al.  MIS Problems and failures a socio-technical perspective part II , 1977 .