The AI-Learning Insight and Engagement Navigator (AI-LIEN) project follows up on the 2023 SATLE funded SHLAMM project (Simple Hermeneutics-inspired Learning Analytics Model for Modules). Led by Dr. Tadhg Nagle and Prof. David Sammon, the capability- building project delivered a simple learning analytics model to see and celebrate the efforts (interim struggles) of learners as they learn. This Learning Analytics tool enables ‘evidence-based nudges’ and ‘week-on-week comparative analysis’ which improves our module level, learner-centric, storytelling. However, a limitation of the SHLAMM LA tool is that it requires a significant amount of human intervention to (i) curate the weekly student responses and (ii) create a module level dataset (integrated weekly responses) for more longitudinal analysis. These current manual practices are not sustainable and limit the ‘close to real-time’ value proposition of the LA tool as it is currently instantiated. Therefore, the SATLE grant funding for the AI-LIEN project will enable the development of the AI-LIEN system – an AI-powered tool to ingest, integrate, and analyse weekly SHLAMM student responses (Canvas Quiz data). Therefore, AI-LIEN is needed to automate and streamline the feedback process based on SHLAMM data.