- Data-Informed Decision-Making: Learning analytics provides insights into learner behavior, performance, and engagement, supporting data-informed decisions across all phases of the learning engineering process. From the design of learning environments, activities and interventions to the evaluation of their impact, learning analytics plays a key role in optimizing educational solutions.
- Feedback for Continuous Improvement: Learning analytics helps identify patterns and trends that can be used to refine learning resources, tools, and pedagogical approaches, providing a feedback loop for continuous improvement.