Linking engagement indicators to supportive interventions

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Presentation transcript:

Linking engagement indicators to supportive interventions Keith Smyth Professor of Pedagogy University of the Highlands and Islands @smythkrs

University of the Highlands and Islands Tertiary university Geographically distributed across an area roughly size of Belgium Reliance of blended and online approaches Networked delivery of programmes to allow study from anywhere in network Generates a lot of data relating to learner interaction and engagement

Key concerns Relating to harness student engagement and experience include: staff and student capabilities in interpreting and acting upon data; linking data to timely interventions and enhancements; tracking and evaluating the effectiveness of those interventions

A complex student data environment Centralised processes and procedures (e.g. NSS reporting) Customised approaches to analysing student engagement within the Academic Partners (e.g. BRAG tracking and action planning tool) Short-life working group looking at data consolidation and processes Enhancement initiative exploring common set of ‘engagement indicators’

Analytics vs ‘engagement indicators’ “A consensus also emerged around the limited, and limiting, use of learner or ‘learning analytics’ as a key term of reference. It was felt that this carried connotations that were too strongly biased in relation to ‘hard data’ generated by interaction with technologies including principally the Virtual Learning Environment, and not sensitive to the wider institutional context with respect to digital tools and spaces, the services students would be expected to engage with, and the range of ‘softer’ indicators of active in learning and teaching activities. In this respect ‘student engagement indicators’ was felt to be a broader, more inclusive description…”

Initial set of ‘engagement indicators’ Attendance at and completion of induction events and activities Attendance within class including videoconference classes Having logged on to the VLE by an established point early in the semester Engagement with a range of online resources and spaces over time Having engaged with and made use of the library including online services Submission of formal coursework on time Having taken opportunities for formative feedback Online engagement with peers Engagement with Personal Academic Tutor Engagement with wider student support provision

Subsequent questions What data pertaining to student engagement (quantitative but also qualitative) is absent from the indicative set of engagement indicators? With a focus on improving the timeliness and effectiveness of student support at individual and cohort level, what would a corresponding set of engagement ‘interventions’ comprise or address, and who would act upon them? What would be presented to module and programmes leaders so they can gauge the engagement of their own students at individual and cohort level? What would be presented to students so they can gauge their own progress and patterns of engagement, in a supportive and non-judgemental manner?

Emergent position “…a primary concern is with how we finalise and operationalise an approach to student engagement indicators that is negotiated and co- constructed amongst a relevant range of colleagues, principally amongst them our students and student representatives. Harnessing student engagement indicators inclusively and reflexively, to in turn support learner inclusion, empowerment and autonomy, are matters which are now coming to the fore in our current discourse, and we are interested in how colleagues at other universities have approached the use of learning analytics and engagement indicators for similar purposes (e.g. McPherson and Heggie, 2016).”

Linking to supportive interventions Early identification of students who may be at risk with respect to their initial engagement with the university, and who may be experiencing challenges around social inclusion, or academic challenges concerning their studies Developing more effective means of gauging and understanding module and programme cohort patterns of engagement in order to: improve student support; identify points of ‘disconnect’ that reflect issues of curriculum or learning and teaching activity design rather than students being unprepared or unwilling to engage; and inform the future design of learning activities. Supporting the PAT role in working with individuals and groups

Next steps Finalising agreed common set of student engagement indicators Operationalising within context of move to a new VLE Synthesising work of VLE project, short-life data working group, and ‘engagement indicators’ work in development of dashboard solution(s) Implications for research into blended and online learning which combines analytics and engagement indicators with qualitative research methods

Thank you