1. 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)

2. 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.