Digital poverty can be defined as “the inability to interact with the online world fully, when, where and how an individual needs to” (Digital Poverty Alliance). This includes consideration of devices, connectivity, access, capability, motivation and support, and participation. The 2023/24 digital experience insights surveys shed light on the current state of learners using digital technologies, […]
Category: Further Education and Skills
Leading data strategist Monica Jones shares insights into how she implemented a strategy that educated and challenged barriers around data to facilitate a culture where data is an asset, not a burden. My mission was to create and implement a data strategy that aligned and complemented our wider 10 year university strategy and fosters a […]
We have heard from some of our Digital Elevation Tool (DET) community members that knowing how to get started with the tool and apply it to their own context can be a significant blocker to progress. We are lucky to have a member of the community who has rolled out the tool at two […]
Our suite of services in digital capability – Digital experience insights, Building digital capability, and the Digital elevation tool – can support and help you to enhance accessibility and inclusion in your college. Accessibility may be a concern within specific curriculum areas as well as in general infrastructure and support services throughout your organisation. Of […]
An update on Jisc Data Analytic’s work with Further Education from Karen Foster At Jisc working with our members to understand their needs is core to what we do. We always welcome opportunities to work together to identify issues and concerns, and develop solutions collaboratively. We have created an exciting new data analytics directorate led […]
As part of the development and implementation of the learning analytics service we are undertaking some workshops with invited colleges who have expressed an interest in the new service. The purpose is firstly to confirm that the planned service focused on predictive models for learner retention and attainment are relevant and second to explore the […]