We introduce our Responsible AI (RAI) framework tailored to Learning Analytics (LA) in Higher Education (HE). 
The primary aim of this framework is to provide higher education institutions with actionable guidance on how to incorporate responsible AI principles effectively into their LA initiatives. 
Recognising that institutions are at various stages of their LA adoption, we have structured the framework to follow the stages of the software development lifecycle: Requirements and Data Collection, Design, Development, Testing, Release, and Monitoring. By aligning the framework with these stages, we address a key limitation of many existing resources, allowing HEIs to engage with the specific stage of development they are currently in.

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We introduce our Responsible AI (RAI) framework tailored to Learning Analytics (LA) in Higher Education (HE). 
The primary aim of this framework is to provide higher education institutions with actionable guidance on how to incorporate responsible AI principles effectively into their LA initiatives. 

*Click on the image to see publication