What?

Learner analytics is the process of collecting, analysing, and interpreting data about students' learning behaviours and outcomes to gain insights that inform instructional decisions and improve learning experiences.

How?

Progress tracking. Monitor students' progress throughout a course, reviewing data on completed activities, time spent on tasks, and mastery of learning objectives. Identify strengths and weaknesses, tailor instruction, and provide targeted support.

Predictive analytics. Use historical data to forecast future performance. Review engagement, assessment scores, and demographic information to identify students at risk of falling behind or disengaging. Intervene early and provide timely support.

Personalised recommendations. By analysing data on learner interactions, achievements, and interests, learner analytics can suggest relevant resources, activities, or pathways that align with individual needs, promoting personalised learning journeys.

Why?

Benefits of learner analytics:

• provides data-informed instruction

• enables early intervention

• offers personalised learning

• optimises resource allocation

• encourages continuous improvement