Jisc’s data maturity framework treats data as an asset and defines what data maturity looks like in a higher and further education context. Data maturity refers to how well an organisation leverages its data for decision-making and its regulatory obligations. It considers risk mitigation, accountability and the effectiveness of data practices. The model offers a […]
Category: Code of Practice
Last Friday, representatives from a number of early adopter universities came together at Jisc’s Bristol offices to work on some of the areas that need to be tackled in their institutional learning analytics projects. Jisc’s Director of Data and Analytics, Michael Webb, demonstrated a new Data Explorer tool which provides useful visualisations, enabling institutions to …
Institutions that are rolling out learning analytics projects will have to address a range of new and often complex issues. This is likely to mean developing an institutional policy specifically to address these issues or adapting existing policies. Jisc’s Code of Practice for Learning Analytics provides a checklist of the areas which may need to be handled …