Learning Analytics at Multiple Levels

Research into AI-enabled professional learning highlights the value of learning analytics systems that identify patterns in responses and highlight recurring misconceptions in assessment data.

How Easy Examiner applies this

• Question-level analytics — identify misconceptions and exam-technique gaps
• Paper-level analytics — understand how students performed across the entire assessment
• Student reports — detailed feedback including What Went Well, To Improve, and Model Answers
• Cohort insights — identify patterns across classes or year groups

Why this matters

Teachers can move beyond simply marking papers and instead diagnose learning gaps quickly and accurately, allowing targeted teaching and intervention.

Research source

Salas-Pilco et al. (2022). Artificial intelligence and learning analytics in teacher education: A systematic review.