Personalisation based on learning analytics

This involves the use of learning analytics to adapt content for each learner. Learning analytics collects and analyses learner data, such as preferences, performance, and interaction patterns, to identify individual learning needs. Based on these insights, the system can adjust content and learning pathways so that learners receive materials relevant to their current knowledge and goals. Learners may be presented with a personalised interface that highlights resources and activities tailored to their needs, while educators receive analytical feedback that helps them understand learners’ progress and plan appropriate instructional support or interventions.

Learning Analytics Life Cycle
PLE using Learning Analytics (Klašnja-Milićević et al., 2020).

Resources

References

🤖 Use the integrated AI to get personalised feedback!