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Developing a Strategy for the Implementation of Learning Analytics at the University of Strathclyde
Ainsley Hainey, Howard Ramsay, Brian Green, Helyn Gould, Scott Walker, Michael Aherne
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About the University Scotland’s 3rd largest university with 24,000 students & 3,500 staff History: Founded in 1796 by Professor John Anderson – an educational reformer with the goal of education for all ‘Useful Learning’ Today: £500m campus renewal Cutting-edge laboratories and facilities including Technology & Innovation centre Learning & Teaching Hub Future Teaching; Future Learning
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Strathclyde’s Education Context
Course Programmes No.* Undergraduate Programmes (BA, BEng, MEng, BSc, MSci, BBA, LLB) 243 Postgraduate Programmes (MSc, MEd/PGDip/PgCert, March, LLM, Mlitt) 155 Research Programmes (PhD, MPhil, MRes, EngD, DBA, Industrial Doctorate, EdD) 32 Level of Study Student Headcount UG 13,160 PG 4,990 PGR 1,500 TOTAL 21,978 Indicator % UG Retention 94.2% PG Retention 97.5% PGR Retention 96.2% Mode of Delivery Student Headcount Attendance 17,776 Distance Learning 1,852 Open Learning 360 Research 1,990 * Programmes offered for 2016/17 All data from 2015/16 Academic Year
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Engaging with Strathclyde’s Distinctiveness
Vision, Mission & Strategy The place of useful learning A leading international technological university Innovative, impactful & socially progressive Outstanding student experience Strathclyde’s Learning Analytics Focus Improving student outcomes Enhancing Assessment and Feedback Support for Widening Participation Develop an institutional strategy to establish the value of Learning Analytics to support individual student learning and teaching excellence.
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Data Levels and Data Sources
Student Level Micro: Subject Level Meso: Corporate Level Macro: Data Sources SUnBIRD Student Records Strategic KPIs: UK NSS, UK 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 Attainment PDP Careers Support Reports Court Senate Education Committees Executive Team Internal Review Faculty Annual Reports Annual Monitoring Feedback on the student experience & learner journey: consistency, parity, support & enhancement Student Engagement Outcomes NSS Improvement Framework Surveys & Metrics Working Group Education Performance Indicators Internal Review: Data sets (e.g. NSS); Dashboard (e.g. SUnBIRD); Learning & teaching focus at subject level; Class evaluation; Learning Analytics
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Strathclyde Learning Analytics: Meetings, Timelines & Milestones
Getting to the Learning Analytics start line Universities Scotland Learning & Teaching Committee Learning Analytics: an introduction and overview Higher Education Academy Strategic Project Bid – basis for internal project funding SOLAR & LAK 2015, 2016 & 2017 A welcoming learning community and a shortcut to best practice Keynote presentation: Belinda Tynan, Open University Multi-disciplinary team attended LAK 2016 Paper and roundtable at LAK 2017 Jisc Student app pilot Blackboard Learning Analytics Readiness Project (Feb 2016) Jisc Learning Analytics Network Meetings
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Strathclyde Learning Analytics: Meetings, Timelines & Milestones
Key Internal Reporting University-wide Committees: Senate, Education Strategy Regular updates to faculty, strategic learning and teaching committees and senior management Students: Student Parliament, Student Representatives Congress Linking Learning Analytics to Staff Development Strathclyde Learning & Teaching Conference June 2015 Belinda Tynan – Conference Keynote (LAK 2015) June 2016 Strathclyde Learning Analytics Project progress Update
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Jisc Learning Analytics Readiness Assessment
Four areas: Culture, Processes, People, and Technology Infrastructure The key recommendation is: Implement a number of pilots using the VLE as the key data source to enable the University of Strathclyde to enhance institutional understanding, capacity, and capabilities for a centrally managed learning analytics service.
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Jisc Learning Analytics Readiness Assessment - Outcomes
Strathclyde Outcome Aggregated Results (15 UK HEIs) Taken from: Jisc Learning Analytics Readiness Project, University of Strathclyde, Final Report – 2nd February 2016 Taken from:
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Pilot Projects 3rd year Electronic & Engineering class 69 students
Incorporating VLE data with practical lab attendance data 1st year Computing and Information Studies Class 101 students Online engagement currently outwith VLE, replicated within VLE? Postgraduate distance learning class in Child & Youth Care Studies 19 students Incorporating VLE data with library e-resource access Postgraduate elective class on MBA 23 students Incorporating Progress Bar use on VLE and gathering student feedback on current intervention strategy Postgraduate class on Teaching, Learning and Assessment 28 students Piloting use of Jisc Study Goal App
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Pilot Projects: Evidence for Future Implementation
Formal reporting structure Class specific recommendations Wider learning analytics implementation recommendations Recommendations so far Students responded to an individualised approach to interventions by however this is not practical for large classes Students liked being able to view progress within a class and perceived a positive change in behaviour Timing of intervention is important Intervention strategies may not impact on student attainment; however they may contribute to an improved learner journey
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Learning Analytics Steering Group
Remit: To support the establishment of a high level institutional strategy for Learning Analytics and a strategy for trialling the use of data to support, with fully informed consent of staff and students, individual student learning and teaching excellence, in conjunction with appropriate concomitant strategies, policies and innovations. Membership Chaired by Deputy Associate Principal (Teaching & Learning) Deputy Associate Principal (Teaching & Learning) Deputy Director Education Enhancement Learning Enhancement Manager LA Project Officer 5 Pilot Participants, representing each faculty and OSDU Assistant Director Library & Information Services Business Intelligence Analyst Vice President Education of Students Association
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External Engagement Partnerships and Networking with other Institutions and agencies: UK Open University, Jisc, SHEILA Project Hosting sector events Jisc Learning Analytics Network Meeting Other events to be announced
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Next Steps Analysis and Dissemination of Pilot Outcomes
Analysis and recommendations to be completed for pilot projects Technical infrastructure investigation and development Specific questions to be answered by learning analytics to be defined Identification of metrics from historical data Institutional and local intervention strategies developed Investigation into automated intervention strategies
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Next Steps (2) Fostering engagement with University staff and students and the wider learning analytics community Work with colleagues to ensure project is adhering to upcoming GDPR Insights and feedback from staff using focus groups will be used to shape the project Development of policy, processes and guidance for the use of Learning Analytics to address ethical, legal and cultural matters
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“What Works” & Lessons Learned?
Engagement across the University and with the sector Involvement of expert professional colleagues, teaching faculty and our students Achieving a common outcome by dedicating relatively small resource Critical to have clear oversight and support from senior management Effective team working, partnership and support to achieve the outcome
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