Data Analytics in Higher Education
What Universities can Learn from Analytics?
The use of analytics in higher education is growing rapidly and getting much attention as institutions globally are realizing the tremendous benefits they can bring to improve institutional effectiveness, support institutional advancement and help address common current issues including those related to: improving student performance and retention, enhancing teaching effectiveness, ensuring availability of data for decision making, and reducing the administrative workload for collecting and analyzing data. In response to such a growing interest the Center has designed this particular 2 day program with the aim of presenting participants with a deep understanding of what analytics are and how they differ from other traditional forms of institutional analysis and reporting, their uses in the context of higher edcuation, various data driven models and the potential benefits they can bring for evidence based strategy formulation, data driven decision making and performance monitoring.
Participants will review several noteworthy examples of successful analytics across a range of HEIs and will learn how to design learning analytics strategies including looking at how to identify and prioritize data sources and systems.
Higher Education Administrators; Directors, Managers and staff working in Institutional Research Units, Quality Assurance and Institutional Effectiveness Offices and IT and other related staff handling any ‘big-data’ projects within the institution.