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Published on Aug 2, 2012
This project will explore a number of complementary innovations aimed at improving student retention and feedback as part of an integrated Student Lifecycle Relationship Management system. Existing student activity data e.g. assessment, financial and welfare data will be augmented with data automatically collected from Library turnstiles; attendance monitoring bio-metric readers in classrooms as well as participation within the VLE. These data will be aggregated into a CRM and then passed via web services to a cloud based analytical and interpretative engine within a services orientated architecture. The cloud based engine is provided by a supplier (Sungard: Course Signals) whose systems are in direct competition with the University's existing management information systems. Therefore the project will additionally explore the interoperability challenges of disaggregated systems architectures within a shared services framework.
The outputs from the analytical engine will be reflected back to students and tutors as a traffic light warning system identifying vulnerabilities and issues that require attention. This project will therefore transform existing relationship management from passive recording of interaction and contact into a more proactive and interventional form. Furthermore, some of these interventions will be through automated use of social networking technologies and others facilitated through automated scheduling of meetings.