- Gap Analysis: Learning analytics can reveal knowledge gaps by identifying concepts or skills that learners consistently struggle with. This helps learning engineers target content for revision or develop supplementary resources.
- Personalized Learning Interventions: Analytics data can be used to identify which learners might benefit from additional support or advanced resources, enabling personalized interventions that align with individual needs.