Effective Use of Data A reflective and stratified approach to enhancing the quality of the student experience Cathy Milligan, Deputy Director (Education Enhancement), Student Experience & Enhancement Services Brian Green, Deputy Associate Principal (Learning & Teaching)

Reflective Stratified Outcomes Data Mechanisms Reflection Macro: Meso: NSS Improvement Framework Surveys & Metrics Working Group Education Performance Indicators ILR: Data sets (e.g. NSS); Dashboard (e.g. SUnBIRD); Unit of Review; Class evaluation; Learning Analytics Data SUnBIRD Student Records Strategic KPIs: NSS, DLHE and Retention Assignments Examinations Student Performance Module Evaluation Internal Surveys VLE Use Mobile App Library Attendance Student Support Services Mechanisms HESA Returns SFC Outcome Agreement Internal Strategy TEF Module Review Course Review Curriculum review Enhancing A&F Student Experience Learning Progression PDP Career Support Reflection Court Senate Education Committees Executive Team Internal Review (ILR) Faculty Annual Reports Annual Monitoring Feedback on the student experience & learner journey: consistency, parity, support & enhancement Student Engagement Student Level Micro: Subject Level Meso: Corporate Level Macro: Background: ELIR recommendation Working group & policy revision, focus on learning & teaching Change in senior management, refreshed strategic plan, emphasis on Key Performance Indicators – individual (ADR) through to subject/faculty/service (refined approach to annual planning). Implemented throughout 2015/16: Reflections - QAA annual meeting paper Benchmarking output Contextualise to other institutional reflective activities, e.g. NSS Improvement Framework – looking at the data in a different way How do we use data? Explain why reflective and stratified approach… What data are we looking at? Different levels of data: macro (corporate), meso (subject) and micro (student/individual) How do we look at data? What instruments are we using to look at the data? The mechanisms… Where do we reflect on the data…at an institutional level, faculty/department/subject level…how does reflection transcend these levels? Where are the gaps? Have we closed the loop? How do we evidence this? Revised approach across the institution led to the activities in ‘Outcomes’ – emphasis stratified approach, the need to evidence at all levels.