Higher education institutions are still grappling with how to approach data management.
The OnTask project aims to design a set of minimum guidelines for an institution to know how data should be collected, stored, handled and made available to support personalised learning support actions using the OnTask tool. Although institutions may have such data already available, the lack of integration and accessibility may render this data unusable.
A clear set of guidelines about how to identify the relevant data sources, how to integrate their management, and most importantly, how to make them available to instructors is at the heart of a strategy to scale support actions.
The project will follow an organic approach to growing a set of recommendations and concrete examples that institutions can use to articulate or adapt their data management strategy to widen the support for large student cohorts. These guidelines and examples will be created in parallel with the learning design guidelines, and will use the pilot experiences to guide the deployment of institutional support.
A comprehensive identification and provision of institutional requirements for data integration are clearly beyond the scope of this project. Analytics is an area that may provide services to a wide variety of units.
This project will focus solely on those requirements needed to make the data sources available to instructors to derive their indicators, provide their rules, and provide personalised learning support actions via OnTask to large student cohorts.